Day-ahead electricity consumption prediction of a population of households: analyzing different machine learning techniques based on real data from RTE in France - researchr publication authors

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Philipp Theile, Anna-Linnea Towle, Kaustubh Karnataki, Alessandro Crosara, Kaveh Paridari, Graham Turk, Lars Nordström. Day-ahead electricity consumption prediction of a population of households: analyzing different machine learning techniques based on real data from RTE in France. In 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018, Aalborg, Denmark, October 29-31, 2018. pages 1-6, IEEE, 2018. [doi]

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