Boundary Inference of Load Scenarios in Multi-energy Parks Based on Statistical Learning-Reference-Cited by-同舟云学术

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Boundary Inference of Load Scenarios in Multi-energy Parks Based on Statistical Learning

Published:2023-07-27 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Power and Energy Technology (ICPET)
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Author:

Huan Jiajia¹,Wang Zhimeng²,Du Yunfei²,Shen Xinwei²,Qiao Baihao³,He Chungeng¹,Lan Xiaodong¹,Luo Shuxin¹

Affiliation:

1. Power Grid Planning Research Center China Southern Power Grid Guangdong Power Grid Co. LTD,Guangzhou,China

2. Tsinghua University,Shenzhen International Graduate School,Shenzhen,China

3. Zhongyuan University of Technology,School of Electronic and Information,Zhengzhou,China

Funder

China Southern Power Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10367197/10367198/10367557.pdf?arnumber=10367557

Reference26 articles.

1. Collaborative optimal scheduling of the community integrated energy system considering source-load uncertainty ad equipment off-design performance;Li;Proceeding of the CSEE,2023

2. Multi-energy complementary based coordinated optimal planning of park integrated energy station-network;Huang;Automation of Electric Power Systems,2020

3. Prospects for key technologies of new-type urban integrated energy system

4. Research and prospect of key technologies for energy interconnection system planning for newtype towns;Wang;Automation of Electric Power Systems,2019

5. Research summary of integrated energy systems planning for energy internet;Yuan;Southern Power System Technology,2019

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