Energy demand forecasting by means of Statistical Modelling: Assessing Benefits of Climate Information

摘要: Energy demand forecasting is a critical task and it allows to anticipate any problems that might affect power systems operators, especially during periods with high peaks. The difficulties of this are due the complexity involved: energy usage patterns particularly variable influenced by many factors, such as weather conditions, social, economic political aspects (i.e. national regulations, international relations). strong influence on electricity in Italy wide use residential air-conditioning devices and, more general, refrigeration ventilation equipments. For reasons, accurate climate information may help obtaining precise forecasts, usually performed statistical methods which show their effectiveness where large amount data available. We present study aim assess effects quality modelling performance forecasting, using provided transmission grid operator.