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Integration of machine learning methods to predict energy production and consumption in demand response system

Integration of machine learning methods to predict energy production and consumption in demand response system
chair:Wissensmanagement, Big Data Analytics, Smart Grid
type:Bachelorarbeit
time:27.02.2016
place:

person in charge:Anggie Legiando Pratama