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

Zheng, Peijun

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

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2019
Langue
anglais
ISBN 10 
6200278571
ISBN 13 
9786200278579
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
Personne responsable
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