diff --git a/.all-contributorsrc b/.all-contributorsrc index 50fe2da4..a69bf6bf 100644 --- a/.all-contributorsrc +++ b/.all-contributorsrc @@ -217,6 +217,33 @@ "contributions": [ "code" ] + }, + { + "login": "sumana-2705", + "name": "Sumana Sree Angajala", + "avatar_url": "https://avatars.githubusercontent.com/u/110307215?v=4", + "profile": "https://github.com/sumana-2705", + "contributions": [ + "code" + ] + }, + { + "login": "EmilyIsCoding", + "name": "Emily", + "avatar_url": "https://avatars.githubusercontent.com/u/98443131?v=4", + "profile": "https://github.com/EmilyIsCoding", + "contributions": [ + "test" + ] + }, + { + "login": "sergejlazuk", + "name": "sergejla", + "avatar_url": "https://avatars.githubusercontent.com/u/33606741?v=4", + "profile": "https://github.com/sergejlazuk", + "contributions": [ + "question" + ] } ], "contributorsPerLine": 7, diff --git a/.bumpversion.cfg b/.bumpversion.cfg index 624a97f3..497d82d9 100644 --- a/.bumpversion.cfg +++ b/.bumpversion.cfg @@ -1,7 +1,7 @@ [bumpversion] commit = True tag = True -current_version = 1.0.75 +current_version = 1.0.81 message = Bump version: {current_version} → {new_version} [skip ci] [bumpversion:file:pyproject.toml] diff --git a/.env.example b/.env.example index 38c52a3b..2aea5fda 100644 --- a/.env.example +++ b/.env.example @@ -19,6 +19,10 @@ SOLIS_CLOUD_API_PORT = '13333' # User needs to add their GivEnergy API details GIVENERGY_API_KEY = 'user_givenergy_api_key' +# To connect to a Victron system use the environment variables below to set the username and password +#VICTRON_USER=username +#VICTRON_PASS=password + # User needs to add their GivEnergy API details SOLARMAN_API_URL = 'https://home.solarmanpv.com/maintain-s/history/power' SOLARMAN_TOKEN = 'user_solarman_token' diff --git a/.github/workflows/pytest.yaml b/.github/workflows/pytest.yaml index f22565b3..ec5addb6 100644 --- a/.github/workflows/pytest.yaml +++ b/.github/workflows/pytest.yaml @@ -10,7 +10,7 @@ on: types: [opened, synchronize, reopened, ready_for_review] jobs: call-run-python-tests: - uses: openclimatefix/.github/.github/workflows/python-test.yml@main + uses: openclimatefix/.github/.github/workflows/python-test.yml@issue/pip-all with: # pytest-cov looks at this folder pytest_cov_dir: "quartz_solar_forecast" diff --git a/README.md b/README.md index b1fd94ae..a5a23500 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,16 @@ # Quartz Solar Forecast -[![All Contributors](https://img.shields.io/badge/all_contributors-23-orange.svg?style=flat-square)](#contributors-) +[![All Contributors](https://img.shields.io/badge/all_contributors-26-orange.svg?style=flat-square)](#contributors-) +![image](https://github.com/user-attachments/assets/6563849b-b355-4842-93e4-61c15a9a9ebf) +[![tags badge](https://img.shields.io/github/v/tag/openclimatefix/open-source-quartz-solar-forecast?include_prereleases&sort=semver&color=FFAC5F)](https://github.com/openclimatefix/open-source-quartz-solar-forecast/tags) +[![pypi badge](https://img.shields.io/pypi/v/quartz-solar-forecast?&color=07BCDF)](https://pypi.org/project/quartz-solar-forecast/) +[![ease of contribution: easy](https://img.shields.io/badge/ease%20of%20contribution:%20easy-32bd50)](https://github.com/openclimatefix/ocf-meta-repo?tab=readme-ov-file#overview-of-ocfs-nowcasting-repositories) +[![Python package tests](https://github.com/openclimatefix/open-source-quartz-solar-forecast/actions/workflows/pytest.yaml/badge.svg)](https://github.com/openclimatefix/open-source-quartz-solar-forecast/actions/workflows/pytest.yaml) + + The aim of the project is to build an open source PV forecast that is free and easy to use. The forecast provides the expected generation in `kw` for 0 to 48 hours for a single PV site. @@ -35,16 +42,10 @@ A colab notebook providing some examples can be found [here](https://colab.resea To generate solar forecasts and save them into a CSV file, follow these steps: -1. Navigate to the scripts directory - -```bash -cd scripts -``` - -2. Run the forecast_csv.py script with desired inputs +- Run the forecast_csv.py script with desired inputs ```bash -python forecast_csv.py +python scripts/forecast_csv.py ``` Replace the --init_time_freq, --start_datetime, --end_datetime, and --site_name with your desired forecast initialization frequency (in hours), start datetime, end datetime, and the name of the forecast or site, respectively. @@ -258,6 +259,9 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d aayush
aayush
📖 Rohan Singh
Rohan Singh
💻 + Sumana Sree Angajala
Sumana Sree Angajala
💻 + Emily
Emily
⚠️ + sergejla
sergejla
💬 diff --git a/examples/inverter_example.py b/examples/inverter_example.py index ec82bd49..fc950f37 100644 --- a/examples/inverter_example.py +++ b/examples/inverter_example.py @@ -14,7 +14,7 @@ def main(save_outputs: bool = False): ts = pd.to_datetime(timestamp_str) # make input data with live enphase, solis, givenergy, or solarman data - site_live = PVSite(latitude=51.75, longitude=-1.25, capacity_kwp=1.25, inverter_type="enphase") # inverter_type="enphase", "solis", "givenergy", or "solarman" + site_live = PVSite(latitude=51.75, longitude=-1.25, capacity_kwp=1.25, inverter_type="enphase") # inverter_type="enphase", "solis", "givenergy", "solarman" or "victron" # make input data with nan data site_no_live = PVSite(latitude=51.75, longitude=-1.25, capacity_kwp=1.25) diff --git a/pyproject.toml b/pyproject.toml index c292fc95..cc21213b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "quartz_solar_forecast" -version = "1.0.75" +version = "1.0.81" description = "Open Source Solar Forecasting for a Site" authors = [ { name = "Peter Dudfield", email = "info@openclimatefix.org" } @@ -43,6 +43,9 @@ package-data = { "quartz_solar_forecast" = ["*"] } [project.optional-dependencies] dev = [] +# additional vendor-specific dependencies for connecting to inverter APIs +inverters = ["ocf_vrmapi"] # victron +all = ["ocf_vrmapi"] [tool.mypy] diff --git a/quartz_solar_forecast/forecast.py b/quartz_solar_forecast/forecast.py index 7cc7f2dd..a75647b0 100644 --- a/quartz_solar_forecast/forecast.py +++ b/quartz_solar_forecast/forecast.py @@ -1,4 +1,5 @@ from datetime import datetime, timedelta +import logging import pandas as pd @@ -6,6 +7,7 @@ from quartz_solar_forecast.forecasts import forecast_v1_tilt_orientation, TryolabsSolarPowerPredictor from quartz_solar_forecast.pydantic_models import PVSite +log = logging.getLogger(__name__) def predict_ocf( site: PVSite, model=None, ts: datetime | str = None, nwp_source: str = "icon" @@ -25,6 +27,16 @@ def predict_ocf( if isinstance(ts, str): ts = datetime.fromisoformat(ts) + if site.capacity_kwp > 4: + log.warning("Your site capacity is greater than 4kWp, " + "however the model is trained on sites with capacity <= 4kWp." + "We therefore will run the model with a capacity of 4 kWp, " + "and we'll scale the results afterwards.") + capacity_kwp_original = site.capacity_kwp + site.capacity_kwp = 4 + else: + capacity_kwp_original = site.capacity_kwp + # make pv and nwp data from nwp_source nwp_xr = get_nwp(site=site, ts=ts, nwp_source=nwp_source) pv_xr = make_pv_data(site=site, ts=ts) @@ -32,6 +44,10 @@ def predict_ocf( # load and run models pred_df = forecast_v1_tilt_orientation(nwp_source, nwp_xr, pv_xr, ts, model=model) + # scale the results if the capacity is different + if capacity_kwp_original != site.capacity_kwp: + pred_df["power_kw"] = pred_df["power_kw"] * capacity_kwp_original / site.capacity_kwp + return pred_df diff --git a/quartz_solar_forecast/inverters/victron.py b/quartz_solar_forecast/inverters/victron.py new file mode 100644 index 00000000..3414f132 --- /dev/null +++ b/quartz_solar_forecast/inverters/victron.py @@ -0,0 +1,48 @@ +from typing import Callable + +import pandas as pd +from datetime import datetime, timedelta +from quartz_solar_forecast.inverters.inverter import AbstractInverter +from pydantic import Field +from pydantic_settings import BaseSettings, SettingsConfigDict +try: + from ocf_vrmapi.vrm import VRM_API +except: + print("Tried to import ocf_vrmapi but couldnt, Victron Inverter functions won't work") + +class VictronSettings(BaseSettings): + model_config = SettingsConfigDict(env_file='.env', extra='ignore') + + username: str = Field(alias="VICTRON_USER") + password: str = Field(alias="VICTRON_PASS") + + +class VictronInverter(AbstractInverter): + + def __init__(self, get_sites: Callable, get_kwh_stats: Callable): + self.__get_sites = get_sites + self.__get_kwh_stats = get_kwh_stats + + @classmethod + def from_settings(cls, settings: VictronSettings): + api = VRM_API(username=settings.username, password=settings.password) + get_sites = lambda: api.get_user_sites(api.user_id) + end = datetime.now() + start = end - timedelta(weeks=1) + get_kwh_stats = lambda site_id: api.get_kwh_stats(site_id, start=start, end=end) + return cls(get_sites, get_kwh_stats) + + def get_data(self, ts: pd.Timestamp) -> pd.DataFrame: + sites = self.__get_sites() + # get first site (bit of a guess) + first_site_id = sites["records"][0]["idSite"] + + stats = self.__get_kwh_stats(first_site_id) + + kwh = stats["records"]["kwh"] + + df = pd.DataFrame(kwh) + + df[0] = pd.to_datetime(df[0], unit='ms') + df.columns = ["timestamp", "power_kw"] + return df diff --git a/quartz_solar_forecast/pydantic_models.py b/quartz_solar_forecast/pydantic_models.py index e362e8c3..7dd2b307 100644 --- a/quartz_solar_forecast/pydantic_models.py +++ b/quartz_solar_forecast/pydantic_models.py @@ -6,6 +6,7 @@ from quartz_solar_forecast.inverters.mock import MockInverter from quartz_solar_forecast.inverters.solarman import SolarmanSettings, SolarmanInverter from quartz_solar_forecast.inverters.solis import SolisSettings, SolisInverter +from quartz_solar_forecast.inverters.victron import VictronSettings, VictronInverter class PVSite(BaseModel): @@ -41,6 +42,8 @@ def get_inverter(self): return GivEnergyInverter(GivEnergySettings()) elif self.inverter_type == 'solarman': return SolarmanInverter(SolarmanSettings()) + elif self.inverter_type == 'victron': + return VictronInverter.from_settings(VictronSettings()) else: return MockInverter() diff --git a/quartz_solar_forecast/utils/forecast_csv.py b/quartz_solar_forecast/utils/forecast_csv.py index 7bfdf1be..748b7bb7 100644 --- a/quartz_solar_forecast/utils/forecast_csv.py +++ b/quartz_solar_forecast/utils/forecast_csv.py @@ -3,45 +3,56 @@ from datetime import datetime, timedelta from quartz_solar_forecast.forecast import run_forecast from quartz_solar_forecast.pydantic_models import PVSite -import unittest -from unittest.mock import patch def generate_all_forecasts( - init_time_freq: int, - start: datetime, - end: datetime, - latitude: float, - longitude: float, - capacity_kwp: float) -> pd.DataFrame: + init_time_freq: int, + start: datetime, + end: datetime, + latitude: float, + longitude: float, + capacity_kwp: float, +) -> pd.DataFrame: all_forecasts = pd.DataFrame() init_time = start while init_time <= end: print(f"Running forecast for initialization time: {init_time}") - predictions_df = forecast_for_site(latitude, longitude, capacity_kwp, init_time=init_time) - predictions_df['forecast_init_time'] = init_time + predictions_df = forecast_for_site( + latitude, longitude, capacity_kwp, init_time=init_time + ) + predictions_df["forecast_init_time"] = init_time all_forecasts = pd.concat([all_forecasts, predictions_df]) init_time += timedelta(hours=init_time_freq) return all_forecasts -def forecast_for_site(latitude: float, - longitude: float, - capacity_kwp: float, - model: str = "gb", - init_time: datetime = None) -> pd.DataFrame: +def forecast_for_site( + latitude: float, + longitude: float, + capacity_kwp: float, + model: str = "gb", + init_time: datetime = None, +) -> pd.DataFrame: site = PVSite(latitude=latitude, longitude=longitude, capacity_kwp=capacity_kwp) predictions_df = run_forecast(site=site, model=model, ts=init_time) predictions_df.reset_index(inplace=True) - predictions_df.rename(columns={'index': 'datetime'}, inplace=True) + predictions_df.rename(columns={"index": "datetime"}, inplace=True) return predictions_df -def write_out_forecasts(init_time_freq, start_datetime, end_datetime, site_name, latitude, longitude, capacity_kwp): +def write_out_forecasts( + init_time_freq, + start_datetime, + end_datetime, + site_name, + latitude, + longitude, + capacity_kwp, +): """ Generates forecasts at specified intervals and saves them into a CSV file. @@ -58,9 +69,11 @@ def write_out_forecasts(init_time_freq, start_datetime, end_datetime, site_name, start_date = start.date() end = datetime.strptime(end_datetime, "%Y-%m-%d %H:%M:%S") end_date = end.date() - all_forecasts = generate_all_forecasts(init_time_freq, start, end, latitude, longitude, capacity_kwp) + all_forecasts = generate_all_forecasts( + init_time_freq, start, end, latitude, longitude, capacity_kwp + ) - output_dir = os.path.join(os.getcwd(), 'csv_forecasts') + output_dir = os.path.join(os.getcwd(), "csv_forecasts") if not os.path.exists(output_dir): os.makedirs(output_dir) output_file_name = f"forecast_{site_name}_{start_date}_{end_date}.csv" @@ -68,54 +81,3 @@ def write_out_forecasts(init_time_freq, start_datetime, end_datetime, site_name, all_forecasts.to_csv(output_file_path, index=False) print(f"Forecasts saved to {output_file_path}") -if __name__ == "__main__": - # please change the site name, start_datetime and end_datetime, latitude, longitude and capacity_kwp as per your requirement - write_out_forecasts( - init_time_freq=6, - start_datetime="2024-03-10 00:00:00", - end_datetime="2024-03-11 00:00:00", - site_name="Test", - latitude=51.75, - longitude=-1.25, - capacity_kwp=1.25 - ) - -class TestGenerateForecast(unittest.TestCase): - def setUp(self): - self.site_name = "TestCase" - self.latitude = 51.75 - self.longitude = -1.25 - self.capacity_kwp = 1.25 - self.start_datetime = "2024-03-10 00:00:00" - self.end_datetime = "2024-03-11 00:00:00" - self.init_time_freq = 6 - self.output_dir = os.path.join(os.getcwd(), 'csv_forecasts') - self.output_file_name = f"forecast_{self.site_name}_{self.start_datetime[:10]}_{self.end_datetime[:10]}.csv" - self.output_file_path = os.path.join(self.output_dir, self.output_file_name) - - @patch('forecast_csv.run_forecast') - def test_generate_forecast(self, mock_run_forecast): - mock_df = pd.DataFrame({ - 'datetime': [datetime(2024, 3, 10, 0, 0) + timedelta(hours=6 * i) for i in range(4)], - 'power_kw': [0.1, 0.5, 0.8, 0.6], - 'forecast_init_time': [datetime(2024, 3, 10, 0, 0)] * 4 - }) - mock_run_forecast.return_value = mock_df - - if not os.path.exists(self.output_dir): - os.makedirs(self.output_dir) - - write_out_forecasts(self.init_time_freq, - self.start_datetime, - self.end_datetime, - self.site_name, - self.latitude, - self.longitude, - self.capacity_kwp - ) - - self.assertTrue(os.path.exists(self.output_file_path)) - os.remove(self.output_file_path) - -if __name__ == '__main__': - unittest.main() diff --git a/scripts/forecast_csv.py b/scripts/forecast_csv.py new file mode 100644 index 00000000..4d10fa13 --- /dev/null +++ b/scripts/forecast_csv.py @@ -0,0 +1,11 @@ +if __name__ == "__main__": + # please change the site name, start_datetime and end_datetime, latitude, longitude and capacity_kwp as per your requirement + write_out_forecasts( + init_time_freq=6, + start_datetime="2024-03-10 00:00:00", + end_datetime="2024-03-11 00:00:00", + site_name="Test", + latitude=51.75, + longitude=-1.25, + capacity_kwp=1.25 + ) \ No newline at end of file diff --git a/tests/inverters/test_victron.py b/tests/inverters/test_victron.py new file mode 100644 index 00000000..44206d1e --- /dev/null +++ b/tests/inverters/test_victron.py @@ -0,0 +1,1460 @@ +import pandas as pd + +from quartz_solar_forecast.inverters.victron import VictronInverter + + +def test_get_data(): + inverter = VictronInverter(lambda: site_data, get_kwh_data) + + ts = pd.Timestamp.now() + df = inverter.get_data(ts) + assert df.shape == (543, 2) + assert list(df.columns) == ["timestamp", "power_kw"] + + +site_data = { + 'success': True, + 'records': [ + {'idSite': 1234, 'accessLevel': 1, 'owner': True, 'is_admin': True, 'name': 'Rooftop Solar', + 'identifier': 'd83add039270', 'idUser': 1234, 'pvMax': 0, 'timezone': 'Europe/London', 'phonenumber': None, + 'notes': '', + 'geofence': '{"type":"circle","radius":744.8847524459488,"center":{"lat":50.928066,"lng":-1.410089}}', + 'geofenceEnabled': False, 'realtimeUpdates': True, 'hasMains': 1, 'hasGenerator': 0, + 'noDataAlarmTimeout': None, 'alarmMonitoring': 1, 'invalidVRMAuthTokenUsedInLogRequest': 0, + 'syscreated': 1677237828, 'isPaygo': 0, 'paygoCurrency': None, 'paygoTotalAmount': None, 'idCurrency': 12, + 'currencyCode': 'GBP', 'currencySign': '£', 'currencyName': 'Sterling', 'inverterChargerControl': 1, + 'shared': False, 'device_icon': 'battery', 'dashboard_variations': {'only_grid_meter': False}}]} + + +def get_kwh_data(site_id: int): + assert site_id is 1234 + return kwh_data + + +kwh_data = { + 'success': True, + 'records': { + 'Bc': [[1726263854000, 0.0181884765625], + [1726264754000, 0.018218994140625], + [1726265654000, 0.0182037353515625], + [1726266554000, 0.036408424377441406], + [1726268354000, 0.0182037353515625], + [1726269254000, 0.0182037353515625], + [1726270154000, 0.0182037353515625], + [1726271954000, 0.036408424377441406], + [1726272854000, 0.0182037353515625], + [1726273754000, 0.0182037353515625], + [1726274654000, 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[1726852454000, 0.5279281139373779], + [1726853354000, 0.5461337566375732], + [1726854254000, 0.5279281139373779], + [1726855154000, 0.07281684875488281], + [1726856054000, 0.018205642700195312], + [1726856954000, 0.036408066749572754], + [1726857854000, 0.018205642700195312], + [1726858754000, 0.0182037353515625], + [1726859654000, 0.0182037353515625], + [1726860554000, 0.018205642700195312], + [1726861454000, 0.0182037353515625], + [1726863254000, 0.018205642700195312], + [1726864154000, 0.036407470703125], + [1726865054000, 0.018205642700195312], + [1726866854000, 0.0182037353515625], + [1726867754000, 0.0182037353515625]]}, + 'totals': {'Bc': 8.57547284453176, 'Gc': 1.7905250787734985, 'Pb': 48.49291117489338, + 'Pc': 16.570437631577075, 'Pg': 34.48880581557751, 'Gb': 0.01869735773652792, + 'Bg': 29.35484167933464, 'kwh': 139.29169158242445}} diff --git a/tests/test_forecast.py b/tests/test_forecast.py index 975103aa..c2d0c70b 100644 --- a/tests/test_forecast.py +++ b/tests/test_forecast.py @@ -2,6 +2,9 @@ from quartz_solar_forecast.pydantic_models import PVSite from datetime import datetime, timedelta +import numpy as np + + def test_run_forecast(): # make input data site = PVSite(latitude=51.75, longitude=-1.25, capacity_kwp=1.25) @@ -55,7 +58,22 @@ def test_run_forecast_historical(): print("\n Prediction based on UKMO NWP\n") print(predications_df_ukmo) print(f" Max: {predications_df_ukmo['power_kw'].max()}") - + print("\n Prediction based on XGB\n") print(predications_df_xgb) + +def test_large_capacity(): + + # make input data + site = PVSite(latitude=51.75, longitude=-1.25, capacity_kwp=4) + site_large = PVSite(latitude=51.75, longitude=-1.25, capacity_kwp=4000) + ts = datetime.today() - timedelta(weeks=2) + + # run model with icon, gfs and ukmo nwp + predications_df = run_forecast(site=site, model="gb", ts=ts, nwp_source="gfs") + predications_df_large = run_forecast(site=site_large, model="gb", ts=ts, nwp_source="gfs") + + assert np.round(predications_df["power_kw"].sum() * 1000, 8) == np.round( + predications_df_large["power_kw"].sum(), 8 + ) diff --git a/tests/test_generate_forecast.py b/tests/test_generate_forecast.py new file mode 100644 index 00000000..5c5c7aa4 --- /dev/null +++ b/tests/test_generate_forecast.py @@ -0,0 +1,55 @@ +import os +import pandas as pd +from datetime import datetime, timedelta +import quartz_solar_forecast.forecast as forecast +from quartz_solar_forecast.utils.forecast_csv import write_out_forecasts +from quartz_solar_forecast.pydantic_models import PVSite + +def test_generate_forecast(monkeypatch): + site_name = "TestCase" + latitude = 51.75 + longitude = -1.25 + capacity_kwp = 1.25 + start_datetime = "2024-03-10 00:00:00" + end_datetime = "2024-03-11 00:00:00" + init_time_freq = 6 + output_dir = os.path.join(os.getcwd(), "csv_forecasts") + output_file_name = ( + f"forecast_{site_name}_{start_datetime[:10]}_{end_datetime[:10]}.csv" + ) + output_file_path = os.path.join(output_dir, output_file_name) + + def mock_forecast( + site: PVSite, + model: str = "gb", + ts: datetime | str = None, + nwp_source: str = "icon", + ): + return pd.DataFrame( + { + "datetime": [ + datetime(2024, 3, 10, 0, 0) + timedelta(hours=6 * i) + for i in range(4) + ], + "power_kw": [0.1, 0.5, 0.8, 0.6], + "forecast_init_time": [datetime(2024, 3, 10, 0, 0)] * 4, + } + ) + + monkeypatch.setattr(forecast, "run_forecast", mock_forecast) + + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + write_out_forecasts( + init_time_freq, + start_datetime, + end_datetime, + site_name, + latitude, + longitude, + capacity_kwp, + ) + + assert os.path.exists(output_file_path) + os.remove(output_file_path)