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

Autor:	Hasan Fleyeh, Chris Bales, Fan Zhang
Rok vydání:	2020
Předmět:	Marketing 021103 operations research Artificial neural network Electricity price forecasting business.industry Strategy and Management Deep learning 0211 other engineering and technologies Energy Engineering 02 engineering and technology Management Science and Operations Research Investment (macroeconomics) Energy engineering Management Information Systems Term (time) Energiteknik 0202 electrical engineering electronic engineering information engineering Economics Electricity market 020201 artificial intelligence & image processing Energy market Artificial intelligence business Industrial organization
Zdroj:	Journal of the Operational Research Society. 73:301-325
ISSN:	1476-9360 0160-5682
DOI:	10.1080/01605682.2020.1843976
Popis:	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, gri...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44747e41e79865adc61c5e05c90537fc https://doi.org/10.1080/01605682.2020.1843976 Zobrazit plný text záznamu