Modeling and Forecasting Energy Demand in TUCN Buildings

The accurate difference between the actual and predicted value of the future load demand defines the load forecasting. Load forecasting provides the most important information for power delivery and planning and plays an important role in energy management system. The aim of this paper is to model the electric baseline load profile, based on the predefined Key Performance Indicators (KPIs), in case of TUCN (Technical University of Cluj-Napoca) buildings and to demonstrate the economic and environmental benefits of controlling the consumption curve in Blocks of Buildings within several Demand Response programs.