(Machine) learning from the COVID-19 lockdown about electricity market performance with a large share of renewables
Christoph Graf, Federico Quaglia, Frank A. Wolak
| Year of publication: |
2021
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|---|---|
| Authors: | Graf, Christoph ; Quaglia, Federico ; Wolak, Frank A. |
| Published in: |
Journal of environmental economics and management : JEEM ; the official journal of the Association of Environmental and Resource Economists. - Amsterdam : Elsevier, ISSN 0095-0696, ZDB-ID 188687-3. - Vol. 105.2021, p. 1-17
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| Subject: | Net demand shock | Re-dispatch market power | Real-time grid operation | Machine learning | European electricity market | Künstliche Intelligenz | Artificial intelligence | Coronavirus | Marktmacht | Market power | Elektrizitätswirtschaft | Electric power industry | Strompreis | Electricity price | Elektrizität | Electricity | Energiemarkt | Energy market | EU-Staaten | EU countries | Erneuerbare Energie | Renewable energy | Schock | Shock |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jeem.2020.102398 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012648940