Stacked Denoising Auto-Encoder for Short-Term Load Forecasting: Deep Learning with Stacked Denoising Auto-Encoder Algorithm - Softcover

Zheng, Peijun

 
9786200278579: Stacked Denoising Auto-Encoder for Short-Term Load Forecasting: Deep Learning with Stacked Denoising Auto-Encoder Algorithm
Softcover
ISBN 10: 6200278571 ISBN 13: 9786200278579
Verlag: LAP LAMBERT Academic Publishing, 2019

Inhaltsangabe

The Stacked Denoising Auto-Encoder (SDAE) is adopted firstly for short-term load forecasting using four factors. The daily average loads act as the baseline in final forecasting tasks. In this research, the Denoising Auto-Encoder (DAE) is pre-trained. In the symmetric DAE, there are three layers: the input layer, the hidden layer, and the output layer where the hidden layer is the symmetric axis. The input layer and the hidden layer construct the encoding part while the hidden layer and the output layer construct the decoding part. After that, all DAEs are stacked together for fine-tuning. In addition, in the encoding part of each DAE, the weight values and hidden layer values are combined with the original input layer values to establish an SDAE network for load forecasting.

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Über die Autorin bzw. den Autor

Name: Zheng Peijun. Academic title: Assistant.Graduate School: North China Electric Power University Yangzhong Intelligent Electric Research Center. Research direction: Electric load forecasting in Microgrids.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
6200278571
ISBN 13 
9786200278579
Einband
Taschenbuch
Anzahl der Seiten
52
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
JustFiction Edition
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