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Forecasting electricity consumption by aggregating specialized experts - A review of the sequential aggregation of specialized experts, with an application to Slovakian and French country-wide one-day-ahead (half-)hourly predictions.

, , , and . Machine Learning, 90 (2): 231-260 (2013)

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Target Tracking for Contextual Bandits: Application to Demand Side Management., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 754-763. PMLR, (2019)Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting., , , and . NIPS, page 2519-2527. (2012)Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models., , and . IEEE Trans. Smart Grid, 5 (1): 440-446 (2014)Forecasting electricity consumption by aggregating specialized experts - A review of the sequential aggregation of specialized experts, with an application to Slovakian and French country-wide one-day-ahead (half-)hourly predictions., , , and . Machine Learning, 90 (2): 231-260 (2013)Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction., , , , and . IEEE Trans. Knowl. Data Eng., 31 (3): 493-506 (2019)Forecasting electricity consumption by aggregating specialized experts, , , and . CoRR, (2012)Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2382-2390. PMLR, (2017)Textual Data for Time Series Forecasting., , , , , and . CoRR, (2019)