Examinando por Autor "Eliasstam, H."

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    Wind power and electricity consumption forecasting on a smart house location
    (European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ), 2013-03) Eliasstam, H.; Genikomsakis, Konstantinos N.; Ioakimidis, Christos S.
    This paper presents the use of an artificial neural network for classification on a residence house that uses wind and electricity consumption predictions to identify patterns at the desired location, in order to obtain a stochastic distribution of the daily wind and electricity profile. This is a step on the further creation of a short-term operation model that allows determining the technical and economic impact of stationary/mobile batteries of electric vehicles in presence of microrenewables along with the electricity consumption. This short-term operation model will be in the day-ahead perfect market operation (unit commitment) where specific changes are made to consider stationary and mobile operation.