energy-prices
There are 19 repositories under energy-prices topic.
custom-components/nordpool
This component allows you to pull in the energy prices into Home-Assistant.
JaccoR/hass-entso-e
Integration for Home Assistant to fetch day ahead energy prices from European countries via ENTSO-e Transparency Platform
mampfes/ha_epex_spot
Adds EPEX Spot data to Home Assistant.
virtualdj/pun_sensor
Prezzi PUN del mese - Home Assistant Integration
jpulakka/nordpool_diff
Transforms electricity spot price into thermostat control signal. Home Assistant custom component.
jrfernandes/ontario_energy_board
Home Assistant component that installs a sensor with the current energy rate for Ontario energy companies
TheFes/cheapest-energy-hours
Jinja macro to find the cheapest energy prices
guigomcha/pvpc_to_telegram
Bot that sends energy prices for next day according to the PVPC tariff
darcato/mercati-energetici
Async python client for the Italian energy markets API
RasmusGodske/homeassistant-nrgiprices
This component allows you to pull in energy prices from NRGI into Home-Assistant.
christoffercarlsson/tibber
A collection of easy-to-use TypeScript methods for querying the Tibber GraphQL API
DCSBL/python-frank-energie
Asynchronous Python package for Frank Energie. Retrieve energy prices for Frank energie.
derrikdennis/ProjectEnergy
A look at the different types of energy comsumptions by state and correlate that to energy prices
superclustr/zonneplan-data-inserter
⚡ Inserts Energy Price Data from Zonneplan.nl into InfluxDB
DylanTartarini1996/energy_prices_monitoring_ita
Streamlit Application built for monitoring energy prices in Italy across time.
lucoenergia/conluz
Conluz is an API-driven application designed for the efficient management of an energy community,enabling the administration of community members and their corresponding supply points and the retrieval of consumption, production data.
markus-k/awattar-api-rs
Rust client for the awattar price API
Abhaykumar04/Energy-Price-Prediction-using-Machine-Learning
Predicting energy prices using various machine learning techniques. Specifically, I have implemented and compared three different regression models.
N3rdP1um23/ontario_energy_board
Home Assistant component that installs a sensor with the current energy rate for Ontario energy companies