2. Artificial intelligence for smart energy management

2.1 General principal of artificial intelligence techniques for smart energy management

In order to perform a Smart Energy Management (SEM), data about power generation, renewable energy management (production forecasting, weather forecasting, storage capacity forecasting etc.), power demand management (consumption, user habits and activities, devices and appliances used, electricity prices, etc.) is required. Thanks to the quick development and penetration of sensor technology, communication and transmission, in particular wireless, technology as well as smart mobile devices, large amounts of data about production and consumption are generated. This huge data requires to be stored and processed efficiently in order to extract knowledge and insights that are used by the SEM system...