Autor/Autorin: Bouzgou Hassen
Dr Hassen Bouzgou received the Ing. Degree and the M.Sc. degrees in telecommunication engineering from the University of Batna, Algeria, in 2000 and 2006, respectively. He received the Ph.D. degree in Electronics from the same university in 2012. He is currently working as Associate Professor at the University of M'sila
The wind has constantly been a natural partner in propelling our societies forward. The wind is often considered as one of the most complex meteorological parameters to predict. This is a consequence of the compound interactions between large scale of natural forcing phenomena such as pressure, temperature differences, earth rotation, and local characteristics of the earth surface. The predicting technique employed depends essentially on the available information and the time scale in question (horizon), and thus its application. In this book it is proposed to deal with the prediction of wind speed by two different and independent methodologies: In the first one, the proposed static system seeks to get the best prediction performance from a set of predicting algorithms, this is done by using a new approach, where the outputs yielded by the different single prediction architectures are combined by three fusion methods. In the second one, the wind speed prediction problem is formulated in the framework of time series. Several variable selection techniques were investigated to find the optimal number of historical wind speed values in order to get the best prediction performance.
Dr Hassen Bouzgou received the Ing. Degree and the M.Sc. degrees in telecommunication engineering from the University of Batna, Algeria, in 2000 and 2006, respectively. He received the Ph.D. degree in Electronics from the same university in 2012. He is currently working as Associate Professor at the University of M'sila
Über den Autor
Dr Hassen Bouzgou received the Ing. Degree and the M.Sc. degrees in telecommunication engineering from the University of Batna, Algeria, in 2000 and 2006, respectively. He received the Ph.D. degree in Electronics from the same university in 2012. He is currently working as Associate Professor at the University of M'sila
Klappentext
The wind has constantly been a natural partner in propelling our societies forward. The wind is often considered as one of the most complex meteorological parameters to predict. This is a consequence of the compound interactions between large scale of natural forcing phenomena such as pressure, temperature differences, earth rotation, and local characteristics of the earth surface. The predicting technique employed depends essentially on the available information and the time scale in question (horizon), and thus its application. In this book it is proposed to deal with the prediction of wind speed by two different and independent methodologies: In the first one, the proposed static system seeks to get the best prediction performance from a set of predicting algorithms, this is done by using a new approach, where the outputs yielded by the different single prediction architectures are combined by three fusion methods. In the second one, the wind speed prediction problem is formulated in the framework of time series. Several variable selection techniques were investigated to find the optimal number of historical wind speed values in order to get the best prediction performance.
