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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007086

Page Number

720-725

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Title

A REVIEW OF ELECTRICITY MARKET CLEARING PRICE FORECAST BASED ON MACHINE LEARNING TECHNICAL

ISSN

2349-5162

Cite This Article

"A REVIEW OF ELECTRICITY MARKET CLEARING PRICE FORECAST BASED ON MACHINE LEARNING TECHNICAL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.720-725, July-2020, Available :http://www.jetir.org/papers/JETIR2007086.pdf

Abstract

In this survey discuss on competitive open market environment has been created due to the restructuring in the electricity market. In the new competitive market, mostly a centrally operated pool with a power exchange has been introduced to meet the offers from the competing suppliers with the bids of the customers. In such an open access environment, the formation of bidding strategy is one of the most challenging and important tasks for electricity participants to maximize their print. It is assumed that each participant submits several blocks of real power quantities along with their bidding prices.

Key Words

Day-Ahead Electricity Markets, Electricity Price Forecasting, Time Series Models, Soft Computing Models Neural network, etc...

Cite This Article

"A REVIEW OF ELECTRICITY MARKET CLEARING PRICE FORECAST BASED ON MACHINE LEARNING TECHNICAL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp720-725, July-2020, Available at : http://www.jetir.org/papers/JETIR2007086.pdf

Publication Details

Published Paper ID: JETIR2007086
Registration ID: 234842
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 720-725
ISSN Number: 2349-5162

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Cite This Article

"A REVIEW OF ELECTRICITY MARKET CLEARING PRICE FORECAST BASED ON MACHINE LEARNING TECHNICAL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp720-725, July-2020, Available at : http://www.jetir.org/papers/JETIR2007086.pdf




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