Imitation Learning Based Fast Power System Production Cost Minimization Simulation-Reference-Cited by-同舟云学术

Imitation Learning Based Fast Power System Production Cost Minimization Simulation

Published:2023-05 Issue:3 Volume:38 Page:2951-2954
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Hu Qinran¹^ORCID,Guo Zishan¹,Li Fangxing²^ORCID

Affiliation:

1. School of Electrical Engineering, Southeast University, Nanjing, Jiangsu Province, China

2. School of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA

Funder

National Natural Science Foundation of China

Key Research and Development Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/10107552/10018270.pdf?arnumber=10018270

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3. Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies

4. Applicability of a Clustered Unit Commitment Model in Power System Modeling

5. Coordinated Operation of Concentrated Solar Power and Wind Resources for the Provision of Energy and Reserve Services

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