A hybrid model based on bidirectional long short-term memory neural network and Catboost for short-term electricity spot price forecasting
Fan Zhang, Hasan Fleyeh and Chris Bales
| Year of publication: |
2022
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|---|---|
| Authors: | Zhang, Fan ; Fleyeh, Hasan ; Bales, Chris |
| Published in: |
Journal of the Operational Research Society. - London : Taylor and Francis, ISSN 1476-9360, ZDB-ID 2007775-0. - Vol. 73.2022, 2, p. 301-325
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| Subject: | Bidirectional long short-term memory neural network | boosting algorithms | deep learning | electricity price forecasting | energy market | machine learning | Strompreis | Electricity price | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Energiemarkt | Energy market | Prognose | Forecast | Energieprognose | Energy forecast | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/01605682.2020.1843976 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013170134