Toward high-resolution projection of electricity prices : a machine learning approach to quantifying the effects of high fuel and CO2 prices
Shiva Madadkhani, Svetlana Ikonnikova
| Year of publication: |
2024
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|---|---|
| Authors: | Madadkhani, Shiva ; Ikonnikova, Svetlana |
| Published in: |
Energy economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-6181, ZDB-ID 2000893-4. - Vol. 129.2024, Art.-No. 107241, p. 1-18
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| Subject: | Machine learning | Electricity price forecasting | Feature selection | Scenario analysis | Strompreis | Electricity price | Künstliche Intelligenz | Artificial intelligence | Szenariotechnik | Prognoseverfahren | Forecasting model | Treibhausgas-Emissionen | Greenhouse gas emissions | Prognose | Forecast | Preis | Price |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Notes: | Im Titelzusatz ist "2" tiefgestellt |
| Other identifiers: | 10.1016/j.eneco.2023.107241 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014558952