Short- and long-term forecasting of electricity prices using embedding of calendar information in neural networks
Andreas Wagner, Enislay Ramentol, Florian Schirra, Hendrik Michaeli
| Year of publication: |
2022
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|---|---|
| Authors: | Wagner, Andreas ; Ramentol, Enislay ; Schirra, Florian ; Michaeli, Hendrik |
| Published in: |
Journal of commodity markets. - Amsterdam : Elsevier, ISSN 2405-8513, ZDB-ID 3067450-5. - Vol. 28.2022, p. 1-18
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| Subject: | Machine learning | Neural networks | Embedding | Electricity market | Spot price | Forecasting | Price-forward curve | Renewables | Neuronale Netze | Strompreis | Electricity price | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Prognose | Forecast | Spotmarkt | Spot market | Energiemarkt | Energy market | Elektrizität | Electricity |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jcomm.2022.100246 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014335249