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Electricity price fundamentals in hydrothermal power generation markets using machine learning and quantile regression analysis

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Title: 

Electricity price fundamentals in hydrothermal power generation markets using machine learning and quantile regression analysis 

Journal: 

International Journal of Energy Economics and Policy

Authors: 

Oviedo-Gómez, Andrés
Londoño-Hernández, Sandra Milena
Manotas-Duque, Diego Fernando

e-ISSN: 

2146-4553

Document Type: 

Article

Year of Publication: 

2021

Open Content License: 

Original URL: 

https://www.econjournals.com/index.php/ijeep/article/download/11346/6002

Persistent Identifier of the first edition: 

doi:10.32479/ijeep.11346

Language: 

English (eng)

Citation: 

Oviedo-Gómez, Andrés/Londoño-Hernández, Sandra Milena et. al. (2021). Electricity price fundamentals in hydrothermal power generation markets using machine learning and quantile regression analysis. In: International Journal of Energy Economics and Policy 11 (5), S. 66 - 77.
https://www.econjournals.com/index.php/ijeep/article/download/11346/6002.
doi:10.32479/ijeep.11346.

Appears in Collections:

International journal of energy economics and policy (IJEEP)

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