This Weather Forecast API provides access to weather forecast data. The forecast data includes features such as wind components and solar radiation levels at specified geographic coordinates. The forecasting process involves predicting atmospheric conditions based on various factors and models. The data provided by this API represents the forecasted state of the atmosphere at different heights above the ground and for various forecast creation times.
The primary objective of this API is to provide real-time and historical weather forecast data to enable more efficient energy management, trading, and planning within microgrids and larger gridpool portfolios.
- Real-time Weather Forecasting: Access current atmospheric conditions based on recent data.
- Historical Data Access: Retrieve past weather forecasts for analysis and trend prediction.
- Feature Customization: Choose from a variety of weather features like wind speed, solar radiation, and more.
- Geographical Flexibility: Get forecasts for any location specified by latitude and longitude.
- Adjusting the trading of photovoltaic (PV) surplus production based on future solar radiation forecasts.
- Feeding excess energy into batteries when low consumption or high production is forecasted.
- Dynamic pricing strategies for energy trading based on anticipated weather conditions.
- Resource allocation in microgrids for anticipated energy demands, guided by weather forecasts.
- Risk assessment and contingency planning for severe weather events.
This API is designed for application developers in the energy sector who focus on the tasks of optimizing microgrid electricity flows or trading of energy. Its design aims to be as developer-friendly as possible, requiring no prior knowledge in electrical engineering and systems and/or weather forecast services.
If you want to know how to build this project and contribute to it, please check out the Contributing Guide.