A Novel Day- ahead Electricity Price Forecasting Using multi-modal combined Integration via Stacked Pruning Sparse Denoising Auto Encoder

One of the best options for managing energy markets and power system performance optimization is precise Electricity Price Forecasting (EPF). In detecting the prices of energy, some factors are of stochastic behavior which has made an unwieldy task. In this study, carrying out Tensor Canonical Corre...

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Vydané v:	Energy reports Ročník 7; s. 2201 - 2213
Hlavní autori:	Liangping Sun, Leiming Li, Bingquan Liu, Sara Saeedi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier 01.11.2021
Predmet:	Deep Neural Network Electricity Price Forecasting Maximum Separation Subspace Stacked pruning sparse denoising autoencoder Sufficient Dimension Reduction Tensor Canonical Correlation Analysis
ISSN:	2352-4847, 2352-4847
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