openclimatefix/solar-consumer

AI Summary: This GitHub issue requests the collection of Belgium's national and regional solar power generation data from the Elia website (elia.be). While scripts for fetching forecasts and collecting 5 years of historical data are marked as complete, the primary remaining work involves ensuring this collected data is correctly saved to the designated data platform and addressing a related issue (#145).

AI Summary: This issue proposes upgrading the Continuous Integration (CI) workflows to utilize newer, more modern approaches. The goal is to implement new workflows for branches, merges, and tagged releases, drawing inspiration from an existing example in another repository.

AI Summary: This issue proposes refactoring the `save_forecast.py` file into three separate modules: `save/save_database`, `save/save_site_database`, and `save/save_csv`. This modularization aims to improve code organization and prepare for future integrations, such as saving to a new data platform.

AI Summary: Extend the existing solar data consumer application to include data collection from Germany. This involves adding Germany as a supported country, potentially requiring modifications to data fetching, formatting, and storage components to accommodate any differences in the German data source compared to the existing sources (NESO and Ned NL). The provided link contains details on the German data source.

AI Summary: Modify the NL forecast data fetching logic in the `neso-solar-consumer` project to only retrieve and save forecast data from the last two hours onwards. This involves adjusting the start date in the data fetching function and potentially re-adding a filter to exclude older data.