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This report presents the first prototype of the Prediction Module developed under Work Package 4 of the INTELLIGENT project. As a key part of the Flexibility and Energy Optimisation Service (FOS), the module enables short-term forecasting of household electricity demand and solar PV generation using advanced machine learning models. XGBoost showed the best performance among the evaluated methods. The module supports energy communities in optimising local energy use and participating in energy markets. The codebases are made publicly available to promote reuse and collaboration. Future iterations will include the use of real-world data from pilot sites.
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Technical University of Munich (TUM) (2026) studied this question.
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