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

โœ Scribed by Amjady, N.; Daraeepour, A.; Keynia, F.

Book ID
117811653
Publisher
The Institution of Engineering and Technology
Year
2010
Tongue
English
Weight
451 KB
Volume
4
Category
Article
ISSN
1751-8687

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This paper evaluates the usefulness of publicly available electricity market information in predicting the hourly prices in the PJM day-ahead electricity market using recursive neural network (RNN) technique, which is based on similar days (SD) approach. RNN is a multi-step approach based on one out