The Demand Response is one of the solutions to the fluctuations of the generation in the power systems. A realtime market combined to automation systems on household has been developed during EcoGrid EU project. This study aims to further develop the Load Forecasting model with statistical learning algorithms based on Support Vector Machine. The extraction of the dependency of the electrical load on temperature and price is proved to be complicated by cross-dependencies and non-linearities
Analytics of flexible electric consumption. Forecasting the electrical load and the demand response availability
Moret, Fabio
2016/2017
Abstract
The Demand Response is one of the solutions to the fluctuations of the generation in the power systems. A realtime market combined to automation systems on household has been developed during EcoGrid EU project. This study aims to further develop the Load Forecasting model with statistical learning algorithms based on Support Vector Machine. The extraction of the dependency of the electrical load on temperature and price is proved to be complicated by cross-dependencies and non-linearitiesFile in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/28148