Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis-Reference-Cited by-同舟云学术

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Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis

Published:2023-07 Issue: Volume: Page:
ISSN:0378-4754
Container-title:Mathematics and Computers in Simulation
language:en
Short-container-title:Mathematics and Computers in Simulation

Author:

Almeida José,Soares Joao^ORCID,Lezama Fernando^ORCID,Vale Zita,Francois Bruno

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis,General Computer Science,Theoretical Computer Science

Reference32 articles.

1. Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition;Almeida,2022

2. Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators;Almeida,2021

3. Day-ahead to intraday energy scheduling operation considering extreme events using risk-based approaches;Almeida;Neurocomputing,2023

4. Robust Energy Resource Management Incorporating Risk Analysis Using Conditional Value-at-Risk;Almeida;IEEE Access,2022

5. Impact of dependencies in risk assessment of power distribution systems;Alvehag,2008

Cited by 1 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. Insights into the 2022 WCCI-GECCO Competition: Statistical Analysis of Evolutionary Computation in the Energy Domain;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

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