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An Efficient Forecasting-Optimization Scheme for the Intraday Unit Commitment Process Under Significant Wind and Solar Power

  • Published:2018-10 Issue:4 Volume:9 Page:1899-1909
  • ISSN:1949-3029
  • Container-title:IEEE Transactions on Sustainable Energy
  • language:
  • Short-container-title:IEEE Trans. Sustain. Energy

Author:

Cordova SamuelORCID,Rudnick HughORCID,Lorca AlvaroORCID,Martinez Victor

Funder

Solar Energy Research Center, Chile

Fondo Nacional de Desarrollo Cientfico y Tecnológico

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Renewable Energy, Sustainability and the Environment

Cited by 35 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. Optimal scheduling of renewable energy microgrids: A robust multi-objective approach with machine learning-based probabilistic forecasting;Applied Energy;2024-09

2. Transfer-Based Approximate Dynamic Programming for Rolling Security-Constrained Unit Commitment with Uncertainties;Protection and Control of Modern Power Systems;2024-09

3. Probabilistic solar power forecasting: An economic and technical evaluation of an optimal market bidding strategy;Applied Energy;2024-09

4. Probabilistic Solar Power Forecasting Using Multi-Objective Quantile Regression;2024 18th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS);2024-06-24

5. A Proposed Hybrid Deep Learning Model for Wind Power Forecasting;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28
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