Optimal Scenario Reduction Method for Stochastic Programming via Probabilistic Similarity Function-Reference-Cited by-同舟云学术

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Optimal Scenario Reduction Method for Stochastic Programming via Probabilistic Similarity Function

Published:2024-05-25 Issue: Volume:32 Page:4392-4397
ISSN:
Container-title:2024 36th Chinese Control and Decision Conference (CCDC)
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Author:

Hu Jinxing¹,Cao Yimai¹,Liu Yumeng²,Huang Zhanjun³

Affiliation:

1. Hebei University of Technology,State Key Laboratory of Reliability and Intelligence of Electrical Equipment,Tianjin,China

2. Hebei University of Technology,College of Electrical Engineering,Tianjin,China

3. Northwestern Polytechnical University,College of Aeronautics,Xian,China

Funder

Natural Science Foundation of Hebei Province

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587807.pdf?arnumber=10587807

Reference14 articles.

1. Scenario reduction and scenario tree generation for stochastic programming using Sinkhorn distance

2. A New Clustering Approach for Scenario Reduction in Multi-Stochastic Variable Programming

3. Scenario reduction based on correlation sensitivity and its application in microgrid optimization

4. Scenario reduction in stochastic programming

5. Scenario tree reduction for multistage stochastic programs

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