Dynamic adaptive event detection strategy based on power change-point weighting model-Reference-Cited by-同舟云学术

Dynamic adaptive event detection strategy based on power change-point weighting model

Published:2024-05 Issue: Volume:361 Page:122850
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Wang Gang,Li Zhao,Luo Zhao,Zhang Tao,Lin Mingliang,Li Jiahao,Shen Xin

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Yunnan Provincial Science and Technology Department

Publisher

Elsevier BV

Reference40 articles.

1. Comparative framework for AC-microgrid protection schemes: challenges, solutions, real applications, and future trends;Sheta;Protect Control Mod Power Syst,2023

2. A scalable graph reinforcement learning algorithm based stochastic dynamic dispatch of power system under high penetration of renewable energy;Chen;Int J Electric Power Energy Syst,2023

3. An efficient energy management framework for residential communities based on demand pattern clustering;Deng;Appl Energy,2023

4. Understanding domestic consumer attitude and behaviour towards energy: a study on the Island of Ireland;Brown;Energy Policy,2023

5. Predictive control and coordination for energy community flexibility with electric vehicles, heat pumps and thermal energy storage;Srithapon;Appl Energy,2023

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