Study of Price Elasticity's Predictability for Special Low Voltage Consumers

Corsi, Pierfrancesco; Faria, Pedro; Vale, Zita

http://hdl.handle.net/10400.22/17080

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Autores

Corsi, Pierfrancesco

Faria, Pedro

Vale, Zita

Resumo(s)

Demand Response programs have been assuming lot of importance in the simulations for electric systems in the last years. Their evolution brought to the need of new models able to consider the power consumption profile for every category of user; moreover, in order to better match energy consumptions and productions, highly precise forecasts of loads’ profiles will be needed. This goal can be achieved also thanks to the definition of the elasticity factor. This paper proposes a way to obtain the elasticity price value for the BTE type of user together with an interpolation able to predict it. It will be discussed about the importance of having a real-time elasticity value able to vary according to specific factors, as for example user’s habits during the weekends or weekdays and weather forecasts.