A hybrid model based on bidirectional long short-term memory neural network and Catboost for short-term electricity spot price forecasting

Electricity price forecasting plays a crucial role in a liberalised electricity market. Generally speaking, long-term electricity price is widely utilised for investment profitability analysis, grid or transmission expansion planning, while medium-term forecasting is important to markets that involv...

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Bibliographic Details

Published in:	The Journal of the Operational Research Society Vol. 73; no. 2; pp. 301 - 325
Main Authors:	Zhang, Fan, Fleyeh, Hasan, Bales, Chris
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 2022
Subjects:	Bidirectional long short-term memory neural network boosting algorithms deep learning electricity price forecasting energy market machine learning
ISSN:	0160-5682, 1476-9360, 1476-9360
Online Access:	Get full text
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