Advanced Methods of Power Load Forecasting

ISBN 10: 3036542183 / ISBN 13: 9783036542188

Published by MDPI AG, 2022

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9783036542188

Bibliographic Details

• Title: Advanced Methods of Power Load Forecasting
• Publisher: MDPI AG
• Publication Date: 2022
• Language: English
• ISBN 10: 3036542183
• ISBN 13: 9783036542188
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 13D millimeters 250 millimeters width by 175 millimeters height by 13 millimeters depth
• Weight: 520 grams

About this title

Synopsis

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.