
During February 2026, Tomas Salfischberger enhanced the evcc-io/evcc repository by delivering three features focused on tariff and forecasting improvements. He implemented an EPEX Predictor template with configurable API endpoints and region selection, leveraging Go and YAML for robust API integration and template development. Tomas updated the tariff-base to support float types for charges and taxes, enabling more precise financial calculations. He also introduced a merged tariff structure for multi-horizon forecasts, supporting seamless rate retrieval and compatibility checks. Additionally, he improved backend error handling by extracting detailed API response messages, which enhanced diagnostics and user feedback during system optimization.
February 2026: Delivered key enhancements to tariff and forecasting capabilities in evcc. Implemented EPEX Predictor template with API endpoint and region selection; updated tariff-base to support float types for charges and taxes, enabling precise financial calculations. Improved diagnostics with enhanced error reporting in the optimizer by extracting detailed API response messages for debugging and user feedback. Introduced a merged tariff structure for multi-horizon forecasts, enabling seamless rate retrieval, fallbacks, and compatibility checks across forecast horizons. These changes collectively improve pricing accuracy, system resilience, and decision-quality for end-users.
February 2026: Delivered key enhancements to tariff and forecasting capabilities in evcc. Implemented EPEX Predictor template with API endpoint and region selection; updated tariff-base to support float types for charges and taxes, enabling precise financial calculations. Improved diagnostics with enhanced error reporting in the optimizer by extracting detailed API response messages for debugging and user feedback. Introduced a merged tariff structure for multi-horizon forecasts, enabling seamless rate retrieval, fallbacks, and compatibility checks across forecast horizons. These changes collectively improve pricing accuracy, system resilience, and decision-quality for end-users.

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