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Advanced Methods of Power Load Forecasting
García-Díaz, J. Carlos ; Trull, Óscar (Author)
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Mdpi AG
· Hardcover
Advanced Methods of Power Load Forecasting - García-Díaz, J. Carlos ; Trull, Óscar
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Origin: U.S.A.
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Friday, July 12.
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Synopsis "Advanced Methods of Power Load Forecasting"
This reprint introduces advanced prediction models focused on power load forecasting. Models based on artificial intelligence and more traditional approaches are shown, demonstrating the real possibilities of use to improve prediction in this field. Models of LSTM neural networks, LSTM networks with a SESDA architecture, in even LSTM-CNN are used. On the other hand, multiple seasonal Holt-Winters models with discrete seasonality and the application of the Prophet method to demand forecasting are presented. These models are applied in different circumstances and show highly positive results. This reprint is intended for both researchers related to energy management and those related to forecasting, especially power load.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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