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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Vydané v:	The Journal of the Operational Research Society Ročník 73; číslo 2; s. 301 - 325
Hlavní autori:	Zhang, Fan, Fleyeh, Hasan, Bales, Chris
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 2022
Predmet:	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
On-line prístup:	Získať plný text
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