
In January 2026, Moritz Mair extended the Energy Forecast API in the evcc-io/evcc repository, doubling its forecast horizon from 48 to 96 hours to support longer-term planning for EV charging scenarios. He approached this by enhancing the backend logic using YAML for configuration and applying his skills in API integration and data forecasting. This update enabled more accurate multi-day analytics, allowing users to proactively manage charging resources and improve fleet utilization. Delivered within a one-month window, Moritz’s work aligned with repository standards and CI requirements, demonstrating depth in backend API development and a focus on practical forecasting improvements.
In January 2026, delivered a significant backend enhancement to the Energy Forecast API by extending the horizon to 96 hours, enabling longer-term planning and analytics for EV charging scenarios. Implemented in the evcc-io/evcc repository and linked to commit ecaa0e6068416ef7cd39d093b80ea12e1c76eb1a (#26436). This upgrade improves forecasting accuracy for multi-day planning and supports more proactive management of charging resources, contributing to better fleet utilization and customer planning.
In January 2026, delivered a significant backend enhancement to the Energy Forecast API by extending the horizon to 96 hours, enabling longer-term planning and analytics for EV charging scenarios. Implemented in the evcc-io/evcc repository and linked to commit ecaa0e6068416ef7cd39d093b80ea12e1c76eb1a (#26436). This upgrade improves forecasting accuracy for multi-day planning and supports more proactive management of charging resources, contributing to better fleet utilization and customer planning.

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