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Managing electricity price modeling risk via ensemble forecasting: The case of Turkey

  • Published:2018-12 Issue: Volume:123 Page:390-403
  • ISSN:0301-4215
  • Container-title:Energy Policy
  • language:en
  • Short-container-title:Energy Policy

Author:

Avci Ezgi,Ketter WolfgangORCID,van Heck Eric

Funder

Ministry of Science, Industry of Technology-The Scientific and Technological Research Council of Turkey

Jean Monnet Scholarship

5th International Symposium on Environment and Energy Finance Issues

INFORMS-2017

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,General Energy

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multivariate probabilistic CRPS learning with an application to day-ahead electricity prices;International Journal of Forecasting;2024-10

2. Explainable Forecast of Electricity Market Price Using Machine Learning Algorithms: A Case Study of the Turkish Day-Ahead Market;2024

3. Analysis of System Marginal Price in the Turkish Electricity Market;Considerations of Territorial Planning, Space, and Economic Activity in the Global Economy;2023-05-05

4. Reducing complexity in multivariate electricity price forecasting;International Journal of Energy Sector Management;2021-08-19

5. Reinforcement learning for the optimization of electric vehicle virtual power plants;International Transactions on Electrical Energy Systems;2021-06-03
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