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.
Modeling and Forecasting Energy Demand in TUCN Buildings / Cretu, M.; Czumbil, L.; Bargauan, B.; Stet, D.; Ceclan, A.; Polycarpou, A.; Rizzo, R.; Micu, D. D.. - (2019), pp. 253-258. (Intervento presentato al convegno 7th International Conference on Clean Electrical Power, ICCEP 2019 tenutosi a ita nel 2019) [10.1109/ICCEP.2019.8890113].
Modeling and Forecasting Energy Demand in TUCN Buildings
Rizzo R.;
2019
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
