UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 3
March-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2203191


Registration ID:
321057

Page Number

b724-b729

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Title

An Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks.

Abstract

The direct influence on power system management. Taking into account all of the important factors in deciding electricity rates, some of which are stochastic, is a difficult task. First, Grey Correlation Analysis is used to select the effective parameters in the EPF problem and remove redundant variables based on low correlation grades in this proposed method. After extracting the features, we use the PCA to reduce the data so that the related features can be used for classification. We'll use this to apply the two classifier comparisons. The first is with the ad boost, and then we use the neural networks classifier for stronger market forecasting predictions.

Key Words

Forecasting, ANN, local minima, Mean square Error.

Cite This Article

"An Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.b724-b729, March-2022, Available :http://www.jetir.org/papers/JETIR2203191.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppb724-b729, March-2022, Available at : http://www.jetir.org/papers/JETIR2203191.pdf

Publication Details

Published Paper ID: JETIR2203191
Registration ID: 321057
Published In: Volume 9 | Issue 3 | Year March-2022
DOI (Digital Object Identifier):
Page No: b724-b729
Country: Visakhapatnam, Andhra Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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