A Bayesian Approach for Estimating Uncertainty in Stochastic Economic Dispatch Considering Wind Power Penetration-Reference-Cited by-同舟云学术

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A Bayesian Approach for Estimating Uncertainty in Stochastic Economic Dispatch Considering Wind Power Penetration

Published:2021-01 Issue:1 Volume:12 Page:671-681
ISSN:1949-3029
Container-title:IEEE Transactions on Sustainable Energy
language:
Short-container-title:IEEE Trans. Sustain. Energy

Author:

Hu Zhixiong^ORCID,Xu Yijun^ORCID,Korkali Mert^ORCID,Chen Xiao^ORCID,Mili Lamine^ORCID,Valinejad Jaber

Funder

National Science Foundation

United States Department of Energy Office of Electricity Advanced Grid Modeling Program

U.S. Department of Energy by Lawrence Livermore National Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://ieeexplore.ieee.org/ielam/5165391/9296589/9163306-aam.pdf

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1. Confidence Estimation Transformer for Long-Term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching;CSEE J POWER ENERGY;2024

2. Chance-constrained optimization of multi-energy complementary power generation system considering multiple uncertainties;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

3. Toward Resilient Modern Power Systems: From Single-Domain to Cross-Domain Resilience Enhancement;Proceedings of the IEEE;2024-04

4. Robust Peer-to-Peer Multi-Energy Trading Mechanism Considering Carbon Emission;2024

5. Stochastic Economic Dispatch with Advanced Polynomial Chaos Expansion;IFAC-PapersOnLine;2024

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