Management and Control of Load Clusters for Ancillary Services Using Internet of Electric Loads Based on Cloud–Edge–End Distributed Computing-Reference-Cited by-同舟云学术

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Management and Control of Load Clusters for Ancillary Services Using Internet of Electric Loads Based on Cloud–Edge–End Distributed Computing

Published:2022-10-01 Issue:19 Volume:9 Page:18267-18279
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wu Xin¹^ORCID,You Lan¹^ORCID,Wu Ruofan¹,Zhang Qi²,Liang Kaixin³

Affiliation:

1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China

2. Division of Integrated Operation, National Energy Conservation Center, Beijing, China

3. Intelligent Center, CSSC Systems Engineering Research Institute, Beijing, China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9899827/09729485.pdf?arnumber=9729485

Reference29 articles.

1. Identification and Estimation for Electric Water Heaters in Direct Load Control Programs

2. Planning Energy Storage and Photovoltaic Panels for Demand Response With Heating Ventilation and Air Conditioning Systems

3. Demand response potential evaluation for residential air conditioning loads

4. Thermal Battery Modeling of Inverter Air Conditioning for Demand Response

5. Electric load model synthesis by diffusion approximation of a high-order hybrid-state stochastic system

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