Adaptive Horizontal Federated Learning-Based Demand Response Baseline Load Estimation

Author:

Wang Renjun1,Qiu Haifeng2ORCID,Gao Hongjun1ORCID,Li Chaojie3ORCID,Dong Zhaoyang2ORCID,Liu Junyong1

Affiliation:

1. College of Electrical Engineering, Sichuan University, Chengdu, China

2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

3. School of Electrical Engineering and Telecommunications, UNSW, Sydney, Australia

Funder

Sichuan Science and Technology Program

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Cited by 4 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. Survey on Demand Response in the Landscape of Adaptive and Intelligent Building Energy Management Systems;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

2. Demand Response Potential Day-Ahead Forecasting Approach Based on LSSA-BPNN Considering the Electricity-Carbon Coupling Incentive Effects;IEEE Transactions on Industry Applications;2024-05

3. Optimizing Microgrid Energy Management: Intelligent Techniques;2024 28th International Electrical Power Distribution Conference (EPDC);2024-04-23

4. Residential Customer Baseline Load Estimation Based on Conditional Denoising Diffusion Probabilistic Model;2024 IEEE 4th International Conference in Power Engineering Applications (ICPEA);2024-03-04

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