Pull and save solar generation and forecasts

6 Open Issues Need Help Last updated: Jan 19, 2026

Open Issues Need Help

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Get Belguim data 14 days ago

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).

Complexity: 3/5
good first issue contributions-welcome

Pull and save solar generation and forecasts

Python
bug good first issue contributions-welcome

Pull and save solar generation and forecasts

Python
good first issue contributions-welcome

Pull and save solar generation and forecasts

Python
good first issue contributions-welcome

Pull and save solar generation and forecasts

Python

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.

Complexity: 3/5
good first issue contributions-welcome

Pull and save solar generation and forecasts

Python

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.

Complexity: 2/5
good first issue contributions-welcome

Pull and save solar generation and forecasts

Python