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Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

  • Published:2018-07 Issue: Volume:221 Page:386-405
  • ISSN:0306-2619
  • Container-title:Applied Energy
  • language:en
  • Short-container-title:Applied Energy

Author:

Lago Jesus,De Ridder Fjo,De Schutter Bart

Funder

European Union’s Horizon 2020

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference95 articles.

1. Market overview in electric power systems;Shahidehpour,2002

2. Electricity price forecasting: a review of the state-of-the-art with a look into the future;Weron;Int J Forecast,2014

3. Forecasting day-ahead electricity prices in Europe: the importance of considering market integration;Lago;Appl Energy,2018

4. The impact of wind power on electricity prices;Brancucci Martinez-Anido;Renew Energy,2016

5. Wind and energy markets: a case study of texas;Baldick;IEEE Syst J,2012
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