Package: pyseasnve
PySeasNVEAn unofficial class to interact (read-only) with the Seas-NVE APIYou’ll need to own an account over athttps://seas-nve.dk/Free software: GNU General Public License v3Documentation:https://pyseasnve.readthedocs.io.FeaturesCurrent pricing & climate statsForecasts for pricing and climate statsThe next cheapest/greenest/mixed period (for any given intervals)TODO:Billing stats?Long-term stats (i.e. weekly/monthly/yearly usage) (50% done)Possibility to set configuration values via the APIUsage# Installpython3-mpipinstall-Upyseasnve# Login>>>frompyseasnveimportPySeasNVE>>>seas=PySeasNVE('test@email.com','secretPassword')# Current price + climate stats>>>seas.current_price()1.68# DKK/kWh>>>seas.current_green_energy()75.68# %>>>seas.current_co2_intensity()188# gCO2eq/kWh# Get the price & climate at some hour>>>seas.price_at(9){'start_time':'2022-03-26T09:00:00','kwh_raw_price':1.48,'kwh_tariffs':1.56,'kwh_total':3.04}>>>seas.price_at("2022-03-26T18:00:00"){'start_time':'2022-03-26T18:00:00','kwh_raw_price':2.44,'kwh_tariffs':2.05,'kwh_total':4.49}>>>seas.climate_at(26){'start_time':'2022-03-27T02:00:00','green_energy_percent':68.7,'co2_intensity':251,'consumption_breakdown_percent':{'biomass':23.94,'coal':21.6,'gas':8.36,'geothermal':0.0,'hydro':1.7,'nuclear':7.22,'oil':0.0,'solar':2.83,'wind':33.0,'unknown':1.35}}# Next two cheapest 4-hour intervals>>>seas.cheapest_interval(4,2)[{'start_time':'2022-03-20T12:00:00','interval_hours':4,'interval_avg_kwh_price':1.59,'interval_avg_kwh_price_estimate':False,'interval_avg_green_energy_percent':75.68,'interval_avg_green_energy_percent_estimate':False},{'start_time':'2022-03-20T11:00:00','interval_hours':4,'interval_avg_kwh_price':1.6,'interval_avg_kwh_price_estimate':False,'interval_avg_green_energy_percent':75.68,'interval_avg_green_energy_percent_estimate':False}]# Next greenest 1-hour interval>>>seas.greenest_interval(1,1)[{'start_time':'2022-03-20T12:00:00','interval_hours':1,'interval_avg_kwh_price':1.57,'interval_avg_kwh_price_estimate':False,'interval_avg_green_energy_percent':75.68,'interval_avg_green_energy_percent_estimate':False}]# Or simply use the "best" method, depending on your motivation in SEAS-NVE>>>seas.best_interval()[{'start_time':'2022-03-20T12:00:00','interval_hours':1,'interval_avg_kwh_price':1.57,'interval_avg_kwh_price_estimate':False,'interval_avg_green_energy_percent':75.68,'interval_avg_green_energy_percent_estimate':False},{'start_time':'2022-03-20T13:00:00','interval_hours':1,'interval_avg_kwh_price':1.57,'interval_avg_kwh_price_estimate':False,'interval_avg_green_energy_percent':75.68,'interval_avg_green_energy_percent_estimate':False},{'start_time':'2022-03-20T14:00:00','interval_hours':1,'interval_avg_kwh_price':1.57,'interval_avg_kwh_price_estimate':False,'interval_avg_green_energy_percent':75.68,'interval_avg_green_energy_percent_estimate':False}]You can access the forecasts directly aswell, to write you own wrapper code around it.
If you find something is missing, please raise an issue or submit the code :-)>>>seas.forecast_price()# output not shown>>>seas.forecast_climate()# output not shownCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.2.0 (2022-03-27)BREAKING: renamedkwh_taxtokwh_tariffs- as that is what it is :-)Fixed an error on forecast.price() when the API doesn’t return all keysAdded initial work on consumption stats0.1.1 (2022-03-26)Updated docsAdded two unit tests0.1.0 (2022-03-15)First release on PyPI.