The price prediction for the energy market based on a new method-Reference-Cited by-同舟云学术

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The price prediction for the energy market based on a new method

Published:2018-01 Issue:1 Volume:31 Page:313-337
ISSN:1331-677X
Container-title:Economic Research-Ekonomska Istraživanja
language:en
Short-container-title:Economic Research-Ekonomska Istraživanja

Author:

Ebrahimian Homayoun¹,Barmayoon Saeed²,Mohammadi Mohsen³,Ghadimi Noradin²

Affiliation:

1. Department of Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

2. Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

3. Department of Electrical Engineering, Payame Noor University (PNU), Tehran, Iran

Publisher

Informa UK Limited

Subject

Economics and Econometrics

Link

https://www.tandfonline.com/doi/pdf/10.1080/1331677X.2018.1429291

Reference25 articles.

1. Short-term wind power prediction based on Hybrid Neural Network and chaotic shark smell optimization

2. Day-ahead electricity price forecasting by modified relief algorithm and hybrid neural network

3. Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network technique

4. Dynamic price forecast in a competitive electricity market

5. Short-term electricity prices forecasting in a competitive market: A neural network approach

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