Several anomalies when predicting energy consumption in a disaggregated load (single building) have been found in ......
M.SC. THESIS InnoEnergy MSc Energy for Smart Cities Màster Universitari en Enginyeria de l'Energia
Energy Demand Forecasting in Smart Buildings REPORT
Autor: Acadèmic Director: Company: Industry Director: Sessions:
Álvaro Picatoste Andreas Sumper COMSA Industrial Albert Cot September 2017
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Energy Demand Forecasting in Smart Buildings
Energy Demand Forecasting in Smart Buildings
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Disclaimer This study has been carried out by the student in collaboration with the company. The company has solely provided access to the ), width = 1000, height = 500) mygraph
