Demand response optimization strategy of electric water heater based on BPSO-Reference-Cited by-同舟云学术

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Demand response optimization strategy of electric water heater based on BPSO

Published:2022-04 Issue: Volume: Page:
ISSN:
Container-title:2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)
language:
Short-container-title:

Author:

Shi Kun¹,Zhou Ying¹,He Sheng²,Li Dezhi¹,Zhou Chao³

Affiliation:

1. China Electric Power Research Institute,Institute of Electricity and Energy Efficiency,Beijing,China

2. State Grid Corporation of China,Marketing Division of Marketing Department,Beijing,China

3. State Grid Jiangsu Electric Power Co., Ltd.,Marketing Service Centre,NanJing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9783222/9783223/09783884.pdf?arnumber=9783884

Reference10 articles.

1. Model of Electric Water Heater and Influencing Factors Analysis of Frequency Regulation Response Capability on Demand Side

2. Simulation and analysis of electric water heater load regulation model based on direct load control

3. Using reinforcement learning for demand response of domestic hot water buffers: A real-life demonstration

4. A novel grid load management technique using electric water heaters and Q-learning

5. Electric Water Heaters Management via Reinforcement Learning With Time-Delay in Isolated Microgrids

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. Demand–Response Control of Electric Storage Water Heaters Based on Dynamic Electricity Pricing and Comfort Optimization;Energies;2023-05-15

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