Electricity price fundamentals in hydrothermal power generation markets using machine learning and quantile regression analysis
Andrés Oviedo-Gómez, Sandra Milena Londoño-Hernández, Diego Fernando Manotas-Duque
| Year of publication: |
2021
|
|---|---|
| Authors: | Oviedo-Gómez, Andrés ; Londoño-Hernández, Sandra Milena ; Manotas-Duque, Diego Fernando |
| Published in: |
International Journal of Energy Economics and Policy : IJEEP. - Mersin : EconJournals, ISSN 2146-4553, ZDB-ID 2632577-9. - Vol. 11.2021, 5, p. 66-77
|
| Subject: | electricity prices | hydrothermal power generation markets | machine learning | quantile regression | Gaussian process regression | Strompreis | Electricity price | Regressionsanalyse | Regression analysis | Künstliche Intelligenz | Artificial intelligence | Elektrizitätswirtschaft | Electric power industry | Prognoseverfahren | Forecasting model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.32479/ijeep.11346 [DOI] hdl:11159/7820 [Handle] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012649714