mirror of
https://github.com/fhem/fhem-mirror.git
synced 2025-02-25 16:05:19 +00:00
76_SolarForecast: contrib 1.17.3
git-svn-id: https://svn.fhem.de/fhem/trunk@28728 2b470e98-0d58-463d-a4d8-8e2adae1ed80
This commit is contained in:
nasseeder1
parent
abfe8a216d
commit
b15e52be53
@ -158,7 +158,10 @@ BEGIN {
|
||||
|
||||
# Versions History intern
|
||||
my %vNotesIntern = (
|
||||
"1.17.2" => "28.03.2024 aiTrain: better status info, limit ctrlWeatherDev2/3 to can only use DWD Devices ".
|
||||
"1.17.3" => "31.03.2024 edit commandref, valDecTree: more infos in aiRuleStrings output, integrate OpenMeteoDWDEnsemble-API ".
|
||||
"change Call interval Open-Meteo API to 900s, OpenMeteo-API: fix todayDoneAPIcalls, implement callequivalent".
|
||||
"aiTrain: change default start to hour 2, change AI acceptable result limits ",
|
||||
"1.17.2" => "29.03.2024 aiTrain: better status info, limit ctrlWeatherDev2/3 to can only use DWD Devices ".
|
||||
"integrate OpenMeteoWorld-API with the 'Best match' Weather model ",
|
||||
"1.17.1" => "27.03.2024 add AI to OpenMeteoDWD-API, changed AI train debuglog, new attr ctrlAIshiftTrainStart ".
|
||||
"_specialActivities: split tasks to several time slots, bugfixes ".
|
||||
@ -363,11 +366,12 @@ my $dwdcatgpx = $root."/FHEM/FhemUtils/DWDcat_SolarForecast.gpx";
|
||||
|
||||
my $aitrblto = 7200; # KI Training BlockingCall Timeout
|
||||
my $aibcthhld = 0.2; # Schwelle der KI Trainigszeit ab der BlockingCall benutzt wird
|
||||
my $aitrstartdef = 2; # default Stunde f. Start AI-Training
|
||||
my $aistdudef = 1095; # default Haltezeit KI Raw Daten (Tage)
|
||||
my $aiSpreadUpLim = 130; # obere Abweichungsgrenze (%) AI 'Spread' von API Prognose
|
||||
my $aiSpreadLowLim = 70; # untere Abweichungsgrenze (%) AI 'Spread' von API Prognose
|
||||
my $aiAccUpLim = 150; # obere Abweichungsgrenze (%) AI 'Accurate' von API Prognose
|
||||
my $aiAccLowLim = 50; # untere Abweichungsgrenze (%) AI 'Accurate' von API Prognose
|
||||
my $aiSpreadUpLim = 120; # obere Abweichungsgrenze (%) AI 'Spread' von API Prognose
|
||||
my $aiSpreadLowLim = 80; # untere Abweichungsgrenze (%) AI 'Spread' von API Prognose
|
||||
my $aiAccUpLim = 130; # obere Abweichungsgrenze (%) AI 'Accurate' von API Prognose
|
||||
my $aiAccLowLim = 70; # untere Abweichungsgrenze (%) AI 'Accurate' von API Prognose
|
||||
|
||||
my $calcmaxd = 30; # Anzahl Tage die zur Berechnung Vorhersagekorrektur verwendet werden
|
||||
my @dweattrmust = qw(TTT Neff RR1c ww SunUp SunRise SunSet); # Werte die im Attr forecastProperties des Weather-DWD_Opendata Devices mindestens gesetzt sein müssen
|
||||
@ -376,9 +380,10 @@ my $whistrepeat = 851;
|
||||
|
||||
my $solapirepdef = 3600; # default Abrufintervall SolCast API (s)
|
||||
my $forapirepdef = 900; # default Abrufintervall ForecastSolar API (s)
|
||||
my $ometeorepdef = 600; # default Abrufintervall Open-Meteo API (s)
|
||||
my $ometeorepdef = 900; # default Abrufintervall Open-Meteo API (s)
|
||||
my $vrmapirepdef = 300; # default Abrufintervall Victron VRM API Forecast
|
||||
my $apimaxreqdef = 50; # max. täglich mögliche Requests SolCast API
|
||||
my $solcmaxreqdef = 50; # max. täglich mögliche Requests SolCast API
|
||||
my $ometmaxreq = 9500; # Beschränkung auf max. mögliche Requests Open-Meteo API
|
||||
my $leadtime = 3600; # relative Zeit vor Sonnenaufgang zur Freigabe API Abruf / Verbraucherplanung
|
||||
my $lagtime = 1800; # Nachlaufzeit relativ zu Sunset bis Sperrung API Abruf
|
||||
|
||||
@ -706,6 +711,16 @@ my %hqtxt = (
|
||||
DE => qq{KI Unterstützung arbeitet einwandfrei, liefert jedoch keinen Wert für die aktuelle Stunde} },
|
||||
aiwhit => { EN => qq{the PV forecast value for the current hour is provided by the AI support},
|
||||
DE => qq{der PV Vorhersagewert für die aktuelle Stunde wird von der KI Unterstützung geliefert} },
|
||||
ailatr => { EN => qq{last AI training:},
|
||||
DE => qq{letztes KI-Training:} },
|
||||
aitris => { EN => qq{Runtime in seconds:},
|
||||
DE => qq{Laufzeit in Sekunden:} },
|
||||
airule => { EN => qq{List of strings that describe the tree in rule-form},
|
||||
DE => qq{Liste von Zeichenfolgen, die den Baum in Form von Regeln beschreiben} },
|
||||
ainode => { EN => qq{Number of nodes in the trained decision tree},
|
||||
DE => qq{Anzahl der Knoten im trainierten Entscheidungsbaum} },
|
||||
aidept => { EN => qq{Maximum number of decisions that would need to be made a classification},
|
||||
DE => qq{Maximale Anzahl von Entscheidungen, die für eine Klassifizierung getroffen werden müssen} },
|
||||
nxtscc => { EN => qq{next SolCast call},
|
||||
DE => qq{nächste SolCast Abfrage} },
|
||||
fulfd => { EN => qq{fulfilled},
|
||||
@ -803,8 +818,8 @@ my %htitles = (
|
||||
DE => qq{Wetterdaten sind aktuell entsprechend des verwendeten DWD Modell} },
|
||||
scarespf => { EN => qq{API request failed},
|
||||
DE => qq{API Abfrage fehlgeschlagen} },
|
||||
dapic => { EN => qq{API requests already executed today},
|
||||
DE => qq{Heute bereits durchgeführte API-Anfragen} },
|
||||
dapic => { EN => qq{API requests or request equivalents already carried out today},
|
||||
DE => qq{Heute bereits durchgeführte API-Anfragen bzw. Anfragen-Äquivalente} },
|
||||
rapic => { EN => qq{remaining API requests},
|
||||
DE => qq{verfügbare API-Anfragen} },
|
||||
yheyfdl => { EN => qq{You have exceeded your free daily limit!},
|
||||
@ -1240,10 +1255,14 @@ sub _readCacheFile {
|
||||
delete $data{$type}{$name}{aidectree}{aitrained};
|
||||
$data{$type}{$name}{aidectree}{aitrained} = $dtree;
|
||||
$data{$type}{$name}{current}{aitrainstate} = 'ok';
|
||||
|
||||
Log3 ($name, 3, qq{$name - cached data "$title" restored});
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
delete $data{$type}{$name}{circular}{99}{aitrainLastFinishTs};
|
||||
delete $data{$type}{$name}{circular}{99}{runTimeTrainAI};
|
||||
return;
|
||||
}
|
||||
|
||||
@ -1342,6 +1361,7 @@ sub Set {
|
||||
my $resets = join ",",@re;
|
||||
|
||||
my @fcdevs = qw( OpenMeteoDWD-API
|
||||
OpenMeteoDWDEnsemble-API
|
||||
OpenMeteoWorld-API
|
||||
SolCast-API
|
||||
ForecastSolar-API
|
||||
@ -1560,12 +1580,13 @@ sub _setcurrentRadiationAPI { ## no critic "not used"
|
||||
my $awdev1 = AttrVal ($name, 'ctrlWeatherDev1', '');
|
||||
|
||||
if (($awdev1 eq 'OpenMeteoDWD-API' && $prop ne 'OpenMeteoDWD-API') ||
|
||||
($awdev1 eq 'OpenMeteoDWDEnsemble-API' && $prop ne 'OpenMeteoDWDEnsemble-API') ||
|
||||
($awdev1 eq 'OpenMeteoWorld-API' && $prop ne 'OpenMeteoWorld-API')) {
|
||||
return "The attribute 'ctrlWeatherDev1' is set to '$awdev1'. \n".
|
||||
"Change that attribute to another weather device first if you want use an other API.";
|
||||
}
|
||||
|
||||
if ($prop =~ /(SolCast|OpenMeteoDWD|OpenMeteoWorld)-API/xs) {
|
||||
if ($prop =~ /(SolCast|OpenMeteoDWD|OpenMeteoDWDEnsemble|OpenMeteoWorld)-API/xs) {
|
||||
return "The library FHEM::Utility::CTZ is missing. Please update FHEM completely." if($ctzAbsent);
|
||||
|
||||
my $rmf = reqModFail();
|
||||
@ -1580,7 +1601,7 @@ sub _setcurrentRadiationAPI { ## no critic "not used"
|
||||
|
||||
return if(_checkSetupNotComplete ($hash)); # keine Stringkonfiguration wenn Setup noch nicht komplett
|
||||
|
||||
if ($prop =~ /(ForecastSolar|OpenMeteoDWD|OpenMeteoWorld)-API/xs) {
|
||||
if ($prop =~ /(ForecastSolar|OpenMeteoDWD|OpenMeteoDWDEnsemble|OpenMeteoWorld)-API/xs) {
|
||||
my ($set, $lat, $lon, $elev) = locCoordinates();
|
||||
return qq{set attributes 'latitude' and 'longitude' in global device first} if(!$set);
|
||||
|
||||
@ -2746,7 +2767,7 @@ sub __getSolCastData {
|
||||
$maxcnt = $mx{$apikey} if(!$maxcnt || $mx{$apikey} > $maxcnt);
|
||||
}
|
||||
|
||||
my $apimaxreq = AttrVal ($name, 'ctrlSolCastAPImaxReq', $apimaxreqdef);
|
||||
my $apimaxreq = AttrVal ($name, 'ctrlSolCastAPImaxReq', $solcmaxreqdef);
|
||||
my $madc = sprintf "%.0f", ($apimaxreq / $maxcnt); # max. tägliche Anzahl API Calls
|
||||
my $mpk = $maxcnt; # Requestmultiplikator
|
||||
|
||||
@ -2953,7 +2974,7 @@ sub __solCast_ApiResponse {
|
||||
$data{$type}{$name}{current}{runTimeLastAPIAnswer} = sprintf "%.4f", (tv_interval($stc) - tv_interval($sta)); # API Laufzeit ermitteln
|
||||
|
||||
if($debug =~ /apiProcess|apiCall/x) {
|
||||
my $apimaxreq = AttrVal ($name, 'ctrlSolCastAPImaxReq', $apimaxreqdef);
|
||||
my $apimaxreq = AttrVal ($name, 'ctrlSolCastAPImaxReq', $solcmaxreqdef);
|
||||
|
||||
Log3 ($name, 1, "$name DEBUG> SolCast API Call - response status: ".$jdata->{'response_status'}{'message'});
|
||||
Log3 ($name, 1, "$name DEBUG> SolCast API Call - todayRemainingAPIrequests: ".SolCastAPIVal($hash, '?All', '?All', 'todayRemainingAPIrequests', $apimaxreq));
|
||||
@ -3110,7 +3131,7 @@ sub ___setSolCastAPIcallKeyData {
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{'?All'}{lastretrieval_time} = (timestampToTimestring ($t, $lang))[3]; # letzte Abrufzeit
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{'?All'}{lastretrieval_timestamp} = $t; # letzter Abrufzeitstempel
|
||||
|
||||
my $apimaxreq = AttrVal ($name, 'ctrlSolCastAPImaxReq', $apimaxreqdef);
|
||||
my $apimaxreq = AttrVal ($name, 'ctrlSolCastAPImaxReq', $solcmaxreqdef);
|
||||
my $mpl = SolCastAPIVal ($hash, '?All', '?All', 'solCastAPIcallMultiplier', 1);
|
||||
my $ddc = SolCastAPIVal ($hash, '?All', '?All', 'todayDoneAPIcalls', 0);
|
||||
|
||||
@ -4037,24 +4058,37 @@ sub __getopenMeteoData {
|
||||
my $force = $paref->{force} // 0;
|
||||
my $t = $paref->{t};
|
||||
my $lang = $paref->{lang};
|
||||
my $debug = $paref->{debug};
|
||||
|
||||
my $donearq = SolCastAPIVal ($hash, '?All', '?All', 'todayDoneAPIrequests', 0);
|
||||
|
||||
if ($donearq >= $ometmaxreq) {
|
||||
my $msg = "The limit of maximum $ometmaxreq daily API requests is reached or already exceeded. Process is exited.";
|
||||
Log3 ($name, 1, "$name - ERROR - $msg");
|
||||
return $msg;
|
||||
}
|
||||
|
||||
if (!$force) { # regulärer API Abruf
|
||||
my $lrt = SolCastAPIVal ($hash, '?All', '?All', 'lastretrieval_timestamp', 0);
|
||||
|
||||
if ($lrt && $t < $lrt + $ometeorepdef) {
|
||||
my $rt = $lrt + $ometeorepdef - $t;
|
||||
return qq{The waiting time to the next SolCast API call has not expired yet. The remaining waiting time is $rt seconds};
|
||||
return qq{The waiting time to the next Open-Meteo API call has not expired yet. The remaining waiting time is $rt seconds};
|
||||
}
|
||||
}
|
||||
|
||||
debugLog ($paref, 'apiCall', qq{Open-Meteo API Call - the daily API requests -> limited to: $ometmaxreq, done: $donearq});
|
||||
|
||||
my $submodel = InternalVal ($hash->{NAME}, 'MODEL', '');
|
||||
$paref->{allstrings} = ReadingsVal ($name, 'inverterStrings', '');
|
||||
$paref->{submodel} = $submodel eq 'OpenMeteoDWDAPI' ? 'DWD ICON Seamless' :
|
||||
$submodel eq 'OpenMeteoDWDEnsembleAPI' ? 'DWD ICON Seamless Ensemble' :
|
||||
$submodel eq 'OpenMeteoWorldAPI' ? 'World Best Match' :
|
||||
'unknown';
|
||||
|
||||
return "The Weather Model '$submodel' is not a valid Open-Meteo Weather Model" if($paref->{submodel} eq 'unknown');
|
||||
|
||||
$paref->{callequivalent} = $submodel eq 'OpenMeteoDWDEnsembleAPI' ? 20 : 1;
|
||||
$paref->{begin} = 1;
|
||||
|
||||
__openMeteoDWD_ApiRequest ($paref);
|
||||
@ -4117,18 +4151,19 @@ sub __openMeteoDWD_ApiRequest {
|
||||
my $az = StringVal ($hash, $string, 'azimut', '<unknown>');
|
||||
|
||||
my $url = "https://api.open-meteo.com/v1/forecast?";
|
||||
$url .= "models=icon_seamless" if($submodel eq 'DWD ICON Seamless');
|
||||
$url = "https://ensemble-api.open-meteo.com/v1/ensemble?" if($submodel =~ /Ensemble/xs); # Ensemble Modell gewählt
|
||||
$url .= "models=icon_seamless" if($submodel =~ /DWD\sICON\sSeamless/xs);
|
||||
$url .= "models=best_match" if($submodel eq 'World Best Match');
|
||||
$url .= "&latitude=".$lat.
|
||||
"&longitude=".$lon.
|
||||
"&hourly=temperature_2m,rain,weather_code,cloud_cover,is_day,global_tilted_irradiance_instant".
|
||||
"¤t=temperature_2m,weather_code,cloud_cover".
|
||||
"&minutely_15=global_tilted_irradiance".
|
||||
"&daily=sunrise,sunset".
|
||||
"&forecast_hours=48".
|
||||
"&forecast_days=2".
|
||||
"&tilt=".$tilt.
|
||||
"&azimuth=".$az;
|
||||
$url .= "&latitude=".$lat;
|
||||
$url .= "&longitude=".$lon;
|
||||
$url .= "&hourly=temperature_2m,rain,weather_code,cloud_cover,is_day,global_tilted_irradiance";
|
||||
$url .= "¤t=temperature_2m,weather_code,cloud_cover" if($submodel !~ /Ensemble/xs);
|
||||
$url .= "&minutely_15=global_tilted_irradiance" if($submodel !~ /Ensemble/xs);
|
||||
$url .= "&daily=sunrise,sunset" if($submodel !~ /Ensemble/xs);
|
||||
$url .= "&forecast_hours=48";
|
||||
$url .= "&forecast_days=2";
|
||||
$url .= "&tilt=".$tilt;
|
||||
$url .= "&azimuth=".$az;
|
||||
|
||||
debugLog ($paref, 'apiCall', qq{Open-Meteo API Call - Request for PV-String "$string" with Weather Model >$submodel<:\n$url});
|
||||
|
||||
@ -4144,6 +4179,7 @@ sub __openMeteoDWD_ApiRequest {
|
||||
header => 'Accept: application/json',
|
||||
submodel => $submodel,
|
||||
begin => $paref->{begin},
|
||||
callequivalent => $paref->{callequivalent},
|
||||
caller => \&$caller,
|
||||
stc => [gettimeofday],
|
||||
allstrings => $allstrings,
|
||||
@ -4259,7 +4295,6 @@ sub __openMeteoDWD_ApiResponse {
|
||||
return;
|
||||
}
|
||||
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{'?All'}{todayDoneAPIcalls} += 1;
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{'?All'}{response_message} = 'success';
|
||||
|
||||
if ($debug =~ /apiCall/xs) {
|
||||
@ -4275,7 +4310,10 @@ sub __openMeteoDWD_ApiResponse {
|
||||
|
||||
## Akt. Werte
|
||||
#################
|
||||
($err, my $curstr) = timestringUTCtoLocal ($name, $jdata->{current}{time}, '%Y-%m-%dT%H:%M');
|
||||
my ($curwid, $curwcc, $curtmp, $curstr);
|
||||
|
||||
if (defined $jdata->{current}{time}) {
|
||||
($err, $curstr) = timestringUTCtoLocal ($name, $jdata->{current}{time}, '%Y-%m-%dT%H:%M');
|
||||
|
||||
if ($err) {
|
||||
$msg = 'ERROR - Open-Meteo invalid time conversion: '.$err;
|
||||
@ -4284,9 +4322,10 @@ sub __openMeteoDWD_ApiResponse {
|
||||
return;
|
||||
}
|
||||
|
||||
my $curwid = $jdata->{current}{weather_code};
|
||||
my $curwcc = $jdata->{current}{cloud_cover};
|
||||
my $curtmp = $jdata->{current}{temperature_2m};
|
||||
$curwid = $jdata->{current}{weather_code};
|
||||
$curwcc = $jdata->{current}{cloud_cover};
|
||||
$curtmp = $jdata->{current}{temperature_2m};
|
||||
}
|
||||
|
||||
## Stundenwerte
|
||||
#################
|
||||
@ -4310,7 +4349,7 @@ sub __openMeteoDWD_ApiResponse {
|
||||
next; # Daten älter als akt. Tag 00:00:00 verwerfen
|
||||
}
|
||||
|
||||
my $rad1wh = $jdata->{hourly}{global_tilted_irradiance_instant}[$k]; # Wh/m2
|
||||
my $rad1wh = $jdata->{hourly}{global_tilted_irradiance}[$k]; # Wh/m2
|
||||
my $rad = 10 * (sprintf "%.0f", ($rad1wh * $WhtokJ) / 10); # Umrechnung Wh/m2 in kJ/m2 ->
|
||||
my $pv = sprintf "%.2f", int ($rad1wh / 1000 * $peak * $prdef); # Rad wird in kWh/m2 erwartet
|
||||
my $don = $jdata->{hourly}{is_day}[$k];
|
||||
@ -4319,7 +4358,7 @@ sub __openMeteoDWD_ApiResponse {
|
||||
my $wid = ($don ? 0 : 100) + $jdata->{hourly}{weather_code}[$k];
|
||||
my $wcc = $jdata->{hourly}{cloud_cover}[$k];
|
||||
|
||||
if ($k == 0) { $curwid = ($don ? 0 : 100) + $curwid }
|
||||
if ($k == 0 && $curwid) { $curwid = ($don ? 0 : 100) + $curwid }
|
||||
|
||||
if ($debug =~ /apiProcess/xs) {
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API $pvtmstr - Rad1Wh: $rad1wh, Rad1kJ: $rad, PV est: $pv Wh");
|
||||
@ -4330,9 +4369,9 @@ sub __openMeteoDWD_ApiResponse {
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API $otmstr - Cloud Cover: $wcc");
|
||||
|
||||
if ($k == 0) {
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API $otmstr - current Temp: $curtmp");
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API $curstr - current Weather Code: $curwid");
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API $curstr - current Cloud Cover: $curwcc");
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API $otmstr - current Temp: $curtmp") if(defined $curtmp);
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API $curstr - current Weather Code: $curwid") if(defined $curwid);
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API $curstr - current Cloud Cover: $curwcc") if(defined $curwcc);
|
||||
}
|
||||
}
|
||||
|
||||
@ -4356,9 +4395,9 @@ sub __openMeteoDWD_ApiResponse {
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{$fwtg}{UpdateTime} = $rt;
|
||||
|
||||
if ($k == 0) {
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{$fwtg}{neff} = $curwcc;
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{$fwtg}{ww} = $curwid;
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{$fwtg}{ttt} = $curtmp;
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{$fwtg}{neff} = $curwcc if(defined $curwcc);
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{$fwtg}{ww} = $curwid if(defined $curwid);
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{$fwtg}{ttt} = $curtmp if(defined $curtmp);
|
||||
}
|
||||
|
||||
$k++;
|
||||
@ -4384,18 +4423,28 @@ sub __openMeteoDWD_ApiResponse {
|
||||
if ($k == 0) {
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{sunrise}{today} = $sunrise;
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{sunset}{today} = $sunset;
|
||||
|
||||
if ($debug =~ /apiProcess/xs) {
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API - Sunrise Today: $sunrise");
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API - SunSet Today: $sunset");
|
||||
}
|
||||
}
|
||||
|
||||
if ($k == 1) {
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{sunrise}{tomorrow} = $sunrise;
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{sunset}{tomorrow} = $sunset;
|
||||
|
||||
if ($debug =~ /apiProcess/xs) {
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API - Sunrise Tomorrow: $sunrise");
|
||||
Log3 ($name, 1, "$name DEBUG> Open-Meteo DWD ICON API - SunSet Tomorrow: $sunset");
|
||||
}
|
||||
}
|
||||
|
||||
$k++;
|
||||
}
|
||||
}
|
||||
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{'?All'}{todayDoneAPIrequests} += 1;
|
||||
$data{$type}{$name}{solcastapi}{'?All'}{'?All'}{todayDoneAPIrequests} += $paref->{callequivalent};
|
||||
|
||||
Log3 ($name, 4, qq{$name - Open-Meteo DWD ICON API answer received for string "$string"});
|
||||
|
||||
@ -4406,6 +4455,7 @@ sub __openMeteoDWD_ApiResponse {
|
||||
debug => $debug,
|
||||
allstrings => $allstrings,
|
||||
submodel => $submodel,
|
||||
callequivalent => $paref->{callequivalent},
|
||||
lang => $lang
|
||||
};
|
||||
|
||||
@ -4914,7 +4964,7 @@ sub _getaiDecTree { ## no critic "not used"
|
||||
}
|
||||
|
||||
if($arg eq 'aiRuleStrings') {
|
||||
$ret = __getaiRuleStrings ($hash);
|
||||
$ret = __getaiRuleStrings ($paref);
|
||||
}
|
||||
|
||||
$ret .= lineFromSpaces ($ret, 5);
|
||||
@ -4927,7 +4977,9 @@ return $ret;
|
||||
# Entscheidungsbaum in Form von Regeln beschreiben
|
||||
################################################################
|
||||
sub __getaiRuleStrings { ## no critic "not used"
|
||||
my $hash = shift;
|
||||
my $paref = shift;
|
||||
my $hash = $paref->{hash};
|
||||
my $lang = $paref->{lang};
|
||||
|
||||
return 'the AI usage is not prepared' if(!isPrepared4AI ($hash));
|
||||
|
||||
@ -4948,12 +5000,18 @@ sub __getaiRuleStrings { ## no critic "not used"
|
||||
or do { return $@;
|
||||
};
|
||||
|
||||
my $atf = CircularVal ($hash, 99, 'aitrainLastFinishTs', 0);
|
||||
$atf = '<b>'.$hqtxt{ailatr}{$lang}.' </b>'.($atf ? (timestampToTimestring ($atf, $lang))[0] : '-');
|
||||
my $art = $hqtxt{aitris}{$lang}.' '.CircularVal ($hash, 99, 'runTimeTrainAI', '-');
|
||||
|
||||
if (@rsl) {
|
||||
my $l = scalar @rsl;
|
||||
$rs = "<b>Number of Rules: $l / Number of Nodes: $nodes / Depth: $depth</b>\n";
|
||||
$rs .= "Rules: List of strings that describe the tree in rule-form\n";
|
||||
$rs .= "Nodes: Number of nodes in the trained decision tree\n";
|
||||
$rs .= "Depth: Maximum number of decisions that would need to be made a classification";
|
||||
$rs .= "Rules: ".$hqtxt{airule}{$lang}."\n";
|
||||
$rs .= "Nodes: ".$hqtxt{ainode}{$lang}."\n";
|
||||
$rs .= "Depth: ".$hqtxt{aidept}{$lang};
|
||||
$rs .= "\n\n";
|
||||
$rs .= $atf.' / '.$art;
|
||||
$rs .= "\n\n";
|
||||
$rs .= join "\n", @rsl;
|
||||
}
|
||||
@ -6107,7 +6165,7 @@ sub _addDynAttr {
|
||||
|
||||
for my $step (1..$weatherDevMax) {
|
||||
if ($step == 1) {
|
||||
push @deva, ($adwds ? "ctrlWeatherDev".$step.":OpenMeteoDWD-API,OpenMeteoWorld-API,$adwds" : "ctrlWeatherDev1:OpenMeteoDWD-API,OpenMeteoWorld-API");
|
||||
push @deva, ($adwds ? "ctrlWeatherDev".$step.":OpenMeteoDWD-API,OpenMeteoDWDEnsemble-API,OpenMeteoWorld-API,$adwds" : "ctrlWeatherDev1:OpenMeteoDWD-API,OpenMeteoDWDEnsemble-API,OpenMeteoWorld-API");
|
||||
next;
|
||||
}
|
||||
push @deva, ($adwds ? "ctrlWeatherDev".$step.":$adwds" : "ctrlWeatherDev1");
|
||||
@ -6512,7 +6570,7 @@ sub _specialActivities {
|
||||
##################################
|
||||
$chour = int $chour;
|
||||
$minute = int $minute;
|
||||
my $aitrh = AttrVal ($name, 'ctrlAIshiftTrainStart', 1); # Stunde f. Start AI-Training
|
||||
my $aitrh = AttrVal ($name, 'ctrlAIshiftTrainStart', $aitrstartdef); # Stunde f. Start AI-Training
|
||||
|
||||
## Task 1
|
||||
###########
|
||||
@ -10546,7 +10604,7 @@ sub genStatisticReadings {
|
||||
my $par = $hcsr{$kpi}{par};
|
||||
|
||||
if ($def eq 'apimaxreq') {
|
||||
$def = AttrVal ($name, 'ctrlSolCastAPImaxReq', $apimaxreqdef);
|
||||
$def = AttrVal ($name, 'ctrlSolCastAPImaxReq', $solcmaxreqdef);
|
||||
}
|
||||
|
||||
if ($hcsr{$kpi}{fnr} == 1) {
|
||||
@ -11165,16 +11223,7 @@ sub _checkSetupNotComplete {
|
||||
|
||||
### nicht mehr benötigte Daten verarbeiten - Bereich kann später wieder raus !!
|
||||
##########################################################################################
|
||||
## currentWeatherDev in Attr umsetzen
|
||||
my $mdr = ReadingsVal ($name, 'moduleDirection', undef); # 09.02.2024
|
||||
if ($mdr) {
|
||||
readingsSingleUpdate ($hash, 'moduleAzimuth', $mdr, 0);
|
||||
}
|
||||
|
||||
my $mta = ReadingsVal ($name, 'moduleTiltAngle', undef);
|
||||
if ($mta) {
|
||||
readingsSingleUpdate ($hash, 'moduleDeclination', $mta, 0);
|
||||
}
|
||||
##########################################################################################
|
||||
|
||||
my $is = ReadingsVal ($name, 'inverterStrings', undef); # String Konfig
|
||||
@ -11792,11 +11841,14 @@ sub __createAIicon {
|
||||
q{};
|
||||
$aitit =~ s/<NAME>/$name/xs;
|
||||
|
||||
my $atf = CircularVal ($hash, 99, 'aitrainLastFinishTs', 0);
|
||||
$atf = $hqtxt{ailatr}{$lang}.' '.($atf ? (timestampToTimestring ($atf, $lang))[0] : '-');
|
||||
|
||||
my $aiimg = $aidtabs ? '--' :
|
||||
$aicanuse ne 'ok' ? '-' :
|
||||
$aitst ne 'ok' ? FW_makeImage ('10px-kreis-rot.png', $aitst) :
|
||||
$aihit ? FW_makeImage ('10px-kreis-gruen.png', $hqtxt{aiwhit}{$lang}) :
|
||||
FW_makeImage ('10px-kreis-gelb.png', $hqtxt{aiwook}{$lang});
|
||||
$aihit ? FW_makeImage ('10px-kreis-gruen.png', $hqtxt{aiwhit}{$lang}.' '.$atf) :
|
||||
FW_makeImage ('10px-kreis-gelb.png', $hqtxt{aiwook}{$lang}.' '.$atf);
|
||||
|
||||
my $aiicon = qq{<a title="$aitit">$aiimg</a>};
|
||||
|
||||
@ -13598,15 +13650,17 @@ sub finishTrain {
|
||||
my $type = $hash->{TYPE};
|
||||
|
||||
my $aicanuse = $paref->{aicanuse};
|
||||
my $aiinitstate = $paref->{aiinitstate};
|
||||
my $aitrainstate = $paref->{aitrainstate};
|
||||
my $runTimeTrainAI = $paref->{runTimeTrainAI};
|
||||
my $aiinitstate = $paref->{aiinitstate};
|
||||
my $aitrainFinishTs = $paref->{aitrainLastFinishTs};
|
||||
|
||||
$data{$type}{$name}{current}{aiAddedToTrain} = 0;
|
||||
$data{$type}{$name}{current}{aicanuse} = $aicanuse if(defined $aicanuse);
|
||||
$data{$type}{$name}{current}{aicanuse} = $aicanuse;
|
||||
$data{$type}{$name}{current}{aitrainstate} = $aitrainstate;
|
||||
$data{$type}{$name}{current}{aiinitstate} = $aiinitstate if(defined $aiinitstate);
|
||||
$data{$type}{$name}{current}{aitrainstate} = $aitrainstate if(defined $aitrainstate);
|
||||
$data{$type}{$name}{circular}{99}{runTimeTrainAI} = $runTimeTrainAI if(defined $runTimeTrainAI); # !! in Circular speichern um zu persistieren, setTimeTracking speichert zunächst in Current !!
|
||||
$data{$type}{$name}{circular}{99}{aitrainLastFinishTs} = $aitrainFinishTs if(defined $aitrainFinishTs);
|
||||
|
||||
if ($aitrainstate eq 'ok') {
|
||||
_readCacheFile ({ hash => $hash,
|
||||
@ -13622,9 +13676,12 @@ sub finishTrain {
|
||||
$paref->{debug} = getDebug ($hash);
|
||||
|
||||
if (defined $hash->{HELPER}{AIBLOCKRUNNING}) {
|
||||
debugLog ($paref, 'aiProcess', qq{AI Training BlockingCall PID "$hash->{HELPER}{AIBLOCKRUNNING}{pid}" finished});
|
||||
debugLog ($paref, 'aiProcess', qq{AI Training BlockingCall PID "$hash->{HELPER}{AIBLOCKRUNNING}{pid}" finished, state: $aitrainstate});
|
||||
delete($hash->{HELPER}{AIBLOCKRUNNING});
|
||||
}
|
||||
else {
|
||||
debugLog ($paref, 'aiProcess', qq{AI Training finished, state: $aitrainstate});
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
@ -13731,7 +13788,12 @@ sub aiTrain { ## no critic "not used"
|
||||
|
||||
if (!isPrepared4AI ($hash)) {
|
||||
$err = CurrentVal ($hash, 'aicanuse', '');
|
||||
$serial = encode_base64 (Serialize ( {name => $name, aicanuse => $err} ), "");
|
||||
$serial = encode_base64 (Serialize ( { name => $name,
|
||||
aitrainstate => "Train: not performed -> $err",
|
||||
aicanuse => $err
|
||||
}
|
||||
), "");
|
||||
|
||||
$block ? return ($serial) : return \&finishTrain ($serial);
|
||||
}
|
||||
|
||||
@ -13739,9 +13801,11 @@ sub aiTrain { ## no critic "not used"
|
||||
my $dtree = AiDetreeVal ($hash, 'object', undef);
|
||||
|
||||
if (!$dtree) {
|
||||
$err = 'no AI::DecisionTree object present';
|
||||
$serial = encode_base64 (Serialize ( {name => $name,
|
||||
aitrainstate => "Train: not performed (see 'get $name valCurrent' -> aiinitstate for further info)",
|
||||
aiinitstate => 'Init: no AI::DecisionTree object present'
|
||||
aitrainstate => "Train: not performed -> $err",
|
||||
aiinitstate => "Init: $err",
|
||||
aicanuse => 'ok'
|
||||
}
|
||||
), "");
|
||||
$block ? return ($serial) : return \&finishTrain ($serial);
|
||||
@ -13751,12 +13815,13 @@ sub aiTrain { ## no critic "not used"
|
||||
1;
|
||||
}
|
||||
or do { Log3 ($name, 1, "$name - aiTrain ERROR: $@");
|
||||
#$data{$type}{$name}{current}{aitrainstate} = $@;
|
||||
$err = (split / at/, $@)[0];
|
||||
$serial = encode_base64 (Serialize ( {name => $name,
|
||||
aitrainstate => "Train: $err"
|
||||
aitrainstate => "Train: $err",
|
||||
aicanuse => 'ok'
|
||||
}
|
||||
), "");
|
||||
|
||||
$block ? return ($serial) : return \&finishTrain ($serial);
|
||||
};
|
||||
|
||||
@ -13767,14 +13832,15 @@ sub aiTrain { ## no critic "not used"
|
||||
debugLog ($paref, 'aiProcess', qq{AI trained number of entities: }. $data{$type}{$name}{current}{aiAddedToTrain});
|
||||
debugLog ($paref, 'aiProcess', qq{AI trained and saved data into file: }.$aitrained.$name);
|
||||
debugLog ($paref, 'aiProcess', qq{Training instances and their associated information where purged from the AI object});
|
||||
$data{$type}{$name}{current}{aitrainstate} = 'ok';
|
||||
}
|
||||
|
||||
setTimeTracking ($hash, $cst, 'runTimeTrainAI'); # Zyklus-Laufzeit ermitteln
|
||||
|
||||
$serial = encode_base64 (Serialize ( {name => $name,
|
||||
aitrainstate => CurrentVal ($hash, 'aitrainstate', ''),
|
||||
runTimeTrainAI => CurrentVal ($hash, 'runTimeTrainAI', '')
|
||||
aitrainstate => 'ok',
|
||||
runTimeTrainAI => CurrentVal ($hash, 'runTimeTrainAI', ''),
|
||||
aitrainLastFinishTs => int time,
|
||||
aicanuse => 'ok'
|
||||
}
|
||||
)
|
||||
, "");
|
||||
@ -14013,6 +14079,14 @@ sub aiAddRawData {
|
||||
my $rad1h = HistoryVal ($hash, $pvd, $hod, 'rad1h', undef);
|
||||
next if(!$rad1h || $rad1h <= 0);
|
||||
|
||||
### nicht mehr benötigte Daten verarbeiten - Bereich kann später wieder raus !!
|
||||
#######################################################################################################################
|
||||
next if($rad1h =~ /\.[0-9]{1}$/xs); # 29.03.2024 -> einen Monat drin lassen wegen pvHistory turn
|
||||
if ($rad1h =~ /\.00$/xs) { # 29.03.2024 -> einen Monat drin lassen wegen pvHistory turn
|
||||
$rad1h = int $rad1h;
|
||||
}
|
||||
#######################################################################################################################
|
||||
|
||||
my $pvrl = HistoryVal ($hash, $pvd, $hod, 'pvrl', undef);
|
||||
next if(!$pvrl || $pvrl <= 0);
|
||||
|
||||
@ -14469,6 +14543,7 @@ sub listDataPool {
|
||||
my $idbotot = CircularVal ($hash, $idx, "initdaybatouttot", '-');
|
||||
my $botot = CircularVal ($hash, $idx, "batouttot", '-');
|
||||
my $rtaitr = CircularVal ($hash, $idx, "runTimeTrainAI", '-');
|
||||
my $fsaitr = CircularVal ($hash, $idx, "aitrainLastFinishTs", '-');
|
||||
|
||||
my $pvcf = _ldchash2val ( {pool => $h, idx => $idx, key => 'pvcorrf', cval => $pvcorrf} );
|
||||
my $cfq = _ldchash2val ( {pool => $h, idx => $idx, key => 'quality', cval => $quality} );
|
||||
@ -14495,7 +14570,7 @@ sub listDataPool {
|
||||
$sq .= " batintot: $bitot, initdaybatintot: $idbitot \n";
|
||||
$sq .= " batouttot: $botot, initdaybatouttot: $idbotot \n";
|
||||
$sq .= " lastTsMaxSocRchd: $ltsmsr, nextTsMaxSocChge: $ntsmsc, days2care:$dtocare \n";
|
||||
$sq .= " runTimeTrainAI: $rtaitr\n";
|
||||
$sq .= " runTimeTrainAI: $rtaitr, aitrainLastFinishTs: $fsaitr \n";
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -15671,19 +15746,22 @@ sub setModel {
|
||||
|
||||
my $api = ReadingsVal ($hash->{NAME}, 'currentRadiationAPI', 'DWD');
|
||||
|
||||
if ($api =~ /SolCast/xs) {
|
||||
if ($api =~ /SolCast-/xs) {
|
||||
$hash->{MODEL} = 'SolCastAPI';
|
||||
}
|
||||
elsif ($api =~ /ForecastSolar/xs) {
|
||||
elsif ($api =~ /ForecastSolar-/xs) {
|
||||
$hash->{MODEL} = 'ForecastSolarAPI';
|
||||
}
|
||||
elsif ($api =~ /VictronKI/xs) {
|
||||
elsif ($api =~ /VictronKI-/xs) {
|
||||
$hash->{MODEL} = 'VictronKiAPI';
|
||||
}
|
||||
elsif ($api =~ /OpenMeteoDWD/xs) {
|
||||
elsif ($api =~ /OpenMeteoDWDEnsemble-/xs) {
|
||||
$hash->{MODEL} = 'OpenMeteoDWDEnsembleAPI';
|
||||
}
|
||||
elsif ($api =~ /OpenMeteoDWD-/xs) {
|
||||
$hash->{MODEL} = 'OpenMeteoDWDAPI';
|
||||
}
|
||||
elsif ($api =~ /OpenMeteoWorld/xs) {
|
||||
elsif ($api =~ /OpenMeteoWorld-/xs) {
|
||||
$hash->{MODEL} = 'OpenMeteoWorldAPI';
|
||||
}
|
||||
else {
|
||||
@ -17781,13 +17859,24 @@ to ensure that the system configuration is correct.
|
||||
the service's website.
|
||||
<br><br>
|
||||
|
||||
<b>OpenMeteoDWDEnsemble-API</b> <br>
|
||||
|
||||
This Open-Meteo API variant provides access to the DWD's global Ensemble Prediction System (EPS). <br>
|
||||
The ensemble models ICON-D2-EPS, ICON-EU-EPS and ICON-EPS are seamlessly combined. <br>
|
||||
<a href='https://openmeteo.substack.com/p/ensemble-weather-forecast-api' target='_blank'>Ensemble weather forecasts</a> are
|
||||
a special type of forecasting method that takes into account the uncertainties in weather forecasting.
|
||||
They do this by running several simulations or models with slight differences in the starting conditions or settings.
|
||||
Each simulation, known as an ensemble member, represents a possible outcome of the weather.
|
||||
In this implementation, 40 ensemble members per weather feature are combined and the most probable result is used.
|
||||
<br><br>
|
||||
|
||||
<b>OpenMeteoWorld-API</b> <br>
|
||||
|
||||
As a variant of the Open Meteo service, the OpenMeteoWorld API provides the optimum forecast for a specific location worldwide.
|
||||
The OpenMeteoWorld API seamlessly combines ensemble models from well-known organizations such as NOAA (National Oceanic and Atmospheric
|
||||
The OpenMeteoWorld API seamlessly combines weather models from well-known organizations such as NOAA (National Oceanic and Atmospheric
|
||||
Administration), DWD (German Weather Service), CMCC (Canadian) and ECMWF (European Centre for Medium-Range Weather Forecasts).
|
||||
The best models are combined for each location worldwide to produce the best possible forecast.
|
||||
The weather models are selected automatically based on the location coordinates contained in the API call.
|
||||
The providers' models are combined for each location worldwide to produce the best possible forecast.
|
||||
The services and weather models are used automatically based on the location coordinates contained in the API call.
|
||||
<br><br>
|
||||
|
||||
<b>SolCast-API</b> <br>
|
||||
@ -18499,6 +18588,7 @@ to ensure that the system configuration is correct.
|
||||
<tr><td> <b>pvrlsum</b> </td><td>summary real PV generation per cloud area over the entire term </td></tr>
|
||||
<tr><td> <b>quality</b> </td><td>Quality of the autocorrection factors (0..1), where 'simple' is the quality of the simple correction factor. </td></tr>
|
||||
<tr><td> <b>runTimeTrainAI</b> </td><td>Duration of the last AI training </td></tr>
|
||||
<tr><td> <b>aitrainLastFinishTs</b> </td><td>Timestamp of the last successful AI training </td></tr>
|
||||
<tr><td> <b>tdayDvtn</b> </td><td>Today's deviation PV forecast/generation in % </td></tr>
|
||||
<tr><td> <b>temp</b> </td><td>Outdoor temperature </td></tr>
|
||||
<tr><td> <b>wcc</b> </td><td>Degree of cloud cover </td></tr>
|
||||
@ -18889,9 +18979,9 @@ to ensure that the system configuration is correct.
|
||||
<a id="SolarForecast-attr-ctrlAIshiftTrainStart"></a>
|
||||
<li><b>ctrlAIshiftTrainStart <1...23></b> <br>
|
||||
Daily training takes place when using the internal AI.<br>
|
||||
Training starts 15 minutes after the hour specified in the attribute. <br>
|
||||
Training begins approx. 15 minutes after the hour specified in the attribute. <br>
|
||||
For example, with a set value of '3', training would start at around 03:15. <br>
|
||||
(default: 1)
|
||||
(default: 2)
|
||||
</li>
|
||||
<br>
|
||||
|
||||
@ -19155,9 +19245,48 @@ to ensure that the system configuration is correct.
|
||||
|
||||
Specifies the device or API that provides the required weather data (cloud cover, precipitation, etc.).<br>
|
||||
The attribute 'ctrlWeatherDev1' specifies the leading weather service and is mandatory.<br>
|
||||
If an Open-Mete API is selected in the 'ctrlWeatherDev1' attribute, the Open-Meteo service is automatically set as the
|
||||
source of the radiation data (setter currentRadiationAPI). <br>
|
||||
If an FHEM device is to be used to supply the weather data, it must be of type 'DWD_OpenData'.<br>
|
||||
If an Open-Meteo API is selected in the 'ctrlWeatherDev1' attribute, this Open-Meteo service is automatically set as the
|
||||
source of the radiation data (Setter currentRadiationAPI). <br><br>
|
||||
|
||||
<b>OpenMeteoDWD-API</b> <br>
|
||||
|
||||
Open-Meteo is an open source weather API and offers free access for non-commercial purposes.
|
||||
No API key is required.
|
||||
Open-Meteo leverages a powerful combination of global (11 km) and mesoscale (1 km) weather models from esteemed
|
||||
national weather services.
|
||||
This API provides access to the renowned ICON weather models of the German Weather Service (DWD), which provide
|
||||
15-minute data for short-term forecasts in Central Europe and global forecasts with a resolution of 11 km.
|
||||
The ICON model is a preferred choice for general weather forecast APIs when no other high-resolution weather
|
||||
models are available. The models DWD Icon D2, DWD Icon EU and DWD Icon Global models are merged into a
|
||||
seamless forecast.
|
||||
The comprehensive and clearly laid out
|
||||
<a href='https://open-meteo.com/en/docs/dwd-api' target='_blank'>API Documentation</a> is available on
|
||||
the service's website.
|
||||
<br><br>
|
||||
|
||||
<b>OpenMeteoDWDEnsemble-API</b> <br>
|
||||
|
||||
This Open-Meteo API variant provides access to the DWD's global Ensemble Prediction System (EPS). <br>
|
||||
The ensemble models ICON-D2-EPS, ICON-EU-EPS and ICON-EPS are seamlessly combined. <br>
|
||||
<a href='https://openmeteo.substack.com/p/ensemble-weather-forecast-api' target='_blank'>Ensemble weather forecasts</a> are
|
||||
a special type of forecasting method that takes into account the uncertainties in weather forecasting.
|
||||
They do this by running several simulations or models with slight differences in the starting conditions or settings.
|
||||
Each simulation, known as an ensemble member, represents a possible outcome of the weather.
|
||||
In this implementation, 40 ensemble members per weather feature are combined and the most probable result is used.
|
||||
<br><br>
|
||||
|
||||
<b>OpenMeteoWorld-API</b> <br>
|
||||
|
||||
As a variant of the Open Meteo service, the OpenMeteoWorld API provides the optimum forecast for a specific location worldwide.
|
||||
The OpenMeteoWorld API seamlessly combines weather models from well-known organizations such as NOAA (National Oceanic and Atmospheric
|
||||
Administration), DWD (German Weather Service), CMCC (Canadian) and ECMWF (European Centre for Medium-Range Weather Forecasts).
|
||||
The providers' models are combined for each location worldwide to produce the best possible forecast.
|
||||
The services and weather models are used automatically based on the location coordinates contained in the API call.
|
||||
<br><br>
|
||||
|
||||
<b>DWD Device</b> <br>
|
||||
|
||||
As an alternative to Open-Meteo, an FHEM 'DWD_OpenData' device can be used to supply the weather data.<br>
|
||||
If no device of this type exists, at least one DWD_OpenData device must first be defined.
|
||||
(see <a href="http://fhem.de/commandref.html#DWD_OpenData">DWD_OpenData Commandref</a>). <br>
|
||||
If more than one ctrlWeatherDevX is specified, the average of all weather stations is determined
|
||||
@ -19955,13 +20084,25 @@ die ordnungsgemäße Anlagenkonfiguration geprüft werden.
|
||||
<a href='https://open-meteo.com/en/docs/dwd-api' target='_blank'>API Dokumentation</a> verfügbar.
|
||||
<br><br>
|
||||
|
||||
<b>OpenMeteoDWDEnsemble-API</b> <br>
|
||||
|
||||
Diese Open-Meteo API Variante bietet Zugang zum globalen Ensemble-Vorhersagesystem (EPS) des DWD. <br>
|
||||
Es werden die Ensemble Modelle ICON-D2-EPS, ICON-EU-EPS und ICON-EPS nahtlos vereint. <br>
|
||||
<a href='https://openmeteo.substack.com/p/ensemble-weather-forecast-api' target='_blank'>Ensemble-Wetterprognosen</a> sind
|
||||
eine spezielle Art von Vorhersagemethode, die die Unsicherheiten bei der Wettervorhersage berücksichtigt.
|
||||
Sie tun dies, indem sie mehrere Simulationen oder Modelle mit leichten Unterschieden in den Startbedingungen
|
||||
oder Einstellungen ausführen. Jede Simulation, bekannt als Ensemblemitglied, stellt ein mögliches Ergebnis des Wetters dar.
|
||||
In der vorliegenden Implementierung werden 40 Ensemblemitglieder pro Wettermerkmal zusammengeführt und das wahrscheinlichste
|
||||
Ergbnis verwendet.
|
||||
<br><br>
|
||||
|
||||
<b>OpenMeteoWorld-API</b> <br>
|
||||
|
||||
Als Variante des Open-Meteo Dienstes liefert die OpenMeteoWorld-API die optimale Vorhersage für einen bestimmten Ort weltweit.
|
||||
Die OpenMeteoWorld-API vereint nahtlos Ensemblemodelle bekannter Organisationen wie NOAA (National Oceanic and Atmospheric
|
||||
Die OpenMeteoWorld-API vereint nahtlos Wettermodelle bekannter Organisationen wie NOAA (National Oceanic and Atmospheric
|
||||
Administration), DWD (Deutscher Wetterdienst), CMCC (Canadian) und ECMWF (Europäisches Zentrum für mittelfristige Wettervorhersage).
|
||||
Für jeden Ort weltweit werden die besten Modelle kombiniert, um die bestmögliche Vorhersage zu erstellen.
|
||||
Die Auswahl der Wettermodelle erfolgt automatisch anhand der im API Aufruf enthalteten Standortkoordinaten.
|
||||
Für jeden Ort weltweit werden die Modelle der Anbieter kombiniert, um die bestmögliche Vorhersage zu erstellen.
|
||||
Die Nutzung der Dienste und Wettermodelle erfolgt automatisch anhand der im API Aufruf enthaltenen Standortkoordinaten.
|
||||
<br><br>
|
||||
|
||||
<b>SolCast-API</b> <br>
|
||||
@ -20684,6 +20825,7 @@ die ordnungsgemäße Anlagenkonfiguration geprüft werden.
|
||||
<tr><td> <b>pvrlsum</b> </td><td>Summe reale PV Erzeugung pro Bewölkungsbereich über die gesamte Laufzeit </td></tr>
|
||||
<tr><td> <b>quality</b> </td><td>Qualität der Autokorrekturfaktoren (0..1), wobei 'simple' die Qualität des einfach berechneten Korrekturfaktors ist. </td></tr>
|
||||
<tr><td> <b>runTimeTrainAI</b> </td><td>Laufzeit des letzten KI Trainings </td></tr>
|
||||
<tr><td> <b>aitrainLastFinishTs</b> </td><td>Timestamp des letzten erfolgreichen KI Trainings </td></tr>
|
||||
<tr><td> <b>tdayDvtn</b> </td><td>heutige Abweichung PV Prognose/Erzeugung in % </td></tr>
|
||||
<tr><td> <b>temp</b> </td><td>Außentemperatur </td></tr>
|
||||
<tr><td> <b>wcc</b> </td><td>Grad der Wolkenüberdeckung </td></tr>
|
||||
@ -21073,9 +21215,9 @@ die ordnungsgemäße Anlagenkonfiguration geprüft werden.
|
||||
<a id="SolarForecast-attr-ctrlAIshiftTrainStart"></a>
|
||||
<li><b>ctrlAIshiftTrainStart <1...23></b> <br>
|
||||
Bei Nutzung der internen KI erfolgt ein tägliches Training.<br>
|
||||
Der Start des Trainings erfolgt 15 Minuten nach der im Attribut festgelegten vollen Stunde. <br>
|
||||
Der Start des Trainings erfolgt ca. 15 Minuten nach der im Attribut festgelegten vollen Stunde. <br>
|
||||
Zum Beispiel würde bei einem eingestellten Wert von '3' das Traning ca. 03:15 Uhr starten. <br>
|
||||
(default: 1)
|
||||
(default: 2)
|
||||
</li>
|
||||
<br>
|
||||
|
||||
@ -21340,11 +21482,50 @@ die ordnungsgemäße Anlagenkonfiguration geprüft werden.
|
||||
<li><b>ctrlWeatherDevX </b> <br><br>
|
||||
|
||||
Gibt das Gerät oder die API an, das/die die erforderlichen Wetterdaten (Wolkendecke, Niederschlag usw.) liefert.<br>
|
||||
Das Attribut 'ctrlWeatherDev1' gibt den führenden Wetterdienst an und ist zwingend erforderlich.<br>
|
||||
Wird eine Open-Mete API im Attribut 'ctrlWeatherDev1' ausgewählt, wird der Dienst Open-Meteo automatisch auch als Quelle
|
||||
der Strahlungsdaten (Setter currentRadiationAPI) eingestellt. <br>
|
||||
Soll ein FHEM Gerät zur Lieferung der Wetterdaten dienen, muß es vom Typ 'DWD_OpenData' sein.<br>
|
||||
Ist noch kein Gerät dieses Typs vorhanden, muß zunächst mindestens ein DWD_OpenData-Gerät
|
||||
Das Attribut 'ctrlWeatherDev1' definiert den führenden Wetterdienst und ist zwingend erforderlich.<br>
|
||||
Ist eine Open-Meteo API im Attribut 'ctrlWeatherDev1' ausgewählt, wird dieser Open-Meteo Dienst automatisch auch als Quelle
|
||||
der Strahlungsdaten (Setter currentRadiationAPI) eingestellt. <br><br>
|
||||
|
||||
<b>OpenMeteoDWD-API</b> <br>
|
||||
|
||||
Open-Meteo ist eine Open-Source-Wetter-API und bietet kostenlosen Zugang für nicht-kommerzielle Zwecke.
|
||||
Es ist kein API-Schlüssel erforderlich.
|
||||
Open-Meteo nutzt eine leistungsstarke Kombination aus globalen (11 km) und mesoskaligen (1 km) Wettermodellen
|
||||
von angesehenen nationalen Wetterdiensten.
|
||||
Diese API bietet Zugang zu den renommierten ICON-Wettermodellen des Deutschen Wetterdienstes (DWD), die
|
||||
15-minütige Daten für kurzfristige Vorhersagen in Mitteleuropa und globale Vorhersagen mit einer Auflösung
|
||||
von 11 km liefern. Das ICON-Modell ist eine bevorzugte Wahl für allgemeine Wettervorhersage-APIs, wenn keine
|
||||
anderen hochauflösenden Wettermodelle verfügbar sind. Es werden die Modelle DWD Icon D2, DWD Icon EU
|
||||
und DWD Icon Global zu einer nahtlosen Vorhersage zusammengeführt.
|
||||
Auf der Webseite des Dienstes ist die umfangreiche und übersichtliche
|
||||
<a href='https://open-meteo.com/en/docs/dwd-api' target='_blank'>API Dokumentation</a> verfügbar.
|
||||
<br><br>
|
||||
|
||||
<b>OpenMeteoDWDEnsemble-API</b> <br>
|
||||
|
||||
Diese Open-Meteo API Variante bietet Zugang zum globalen Ensemble-Vorhersagesystem (EPS) des DWD. <br>
|
||||
Es werden die Ensemble Modelle ICON-D2-EPS, ICON-EU-EPS und ICON-EPS nahtlos vereint. <br>
|
||||
<a href='https://openmeteo.substack.com/p/ensemble-weather-forecast-api' target='_blank'>Ensemble-Wetterprognosen</a> sind
|
||||
eine spezielle Art von Vorhersagemethode, die die Unsicherheiten bei der Wettervorhersage berücksichtigt.
|
||||
Sie tun dies, indem sie mehrere Simulationen oder Modelle mit leichten Unterschieden in den Startbedingungen
|
||||
oder Einstellungen ausführen. Jede Simulation, bekannt als Ensemblemitglied, stellt ein mögliches Ergebnis des Wetters dar.
|
||||
In der vorliegenden Implementierung werden 40 Ensemblemitglieder pro Wettermerkmal zusammengeführt und das wahrscheinlichste
|
||||
Ergbnis verwendet.
|
||||
<br><br>
|
||||
|
||||
<b>OpenMeteoWorld-API</b> <br>
|
||||
|
||||
Als Variante des Open-Meteo Dienstes liefert die OpenMeteoWorld-API die optimale Vorhersage für einen bestimmten Ort weltweit.
|
||||
Die OpenMeteoWorld-API vereint nahtlos Wettermodelle bekannter Organisationen wie NOAA (National Oceanic and Atmospheric
|
||||
Administration), DWD (Deutscher Wetterdienst), CMCC (Canadian) und ECMWF (Europäisches Zentrum für mittelfristige Wettervorhersage).
|
||||
Für jeden Ort weltweit werden die Modelle der Anbieter kombiniert, um die bestmögliche Vorhersage zu erstellen.
|
||||
Die Nutzung der Dienste und Wettermodelle erfolgt automatisch anhand der im API Aufruf enthaltenen Standortkoordinaten.
|
||||
<br><br>
|
||||
|
||||
<b>DWD Gerät</b> <br>
|
||||
|
||||
Alternativ zu Open-Meteo kann ein FHEM 'DWD_OpenData'-Gerät zur Lieferung der Wetterdaten dienen.<br>
|
||||
Ist noch kein Gerät dieses Typs vorhanden, muß zunächst mindestens ein DWD_OpenData Gerät
|
||||
definiert werden (siehe <a href="http://fhem.de/commandref.html#DWD_OpenData">DWD_OpenData Commandref</a>). <br>
|
||||
Sind mehr als ein ctrlWeatherDevX angegeben, wird der Durchschnitt aller Wetterstationen ermittelt
|
||||
sofern der jeweilige Wert geliefert wurde und numerisch ist. <br>
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user