Demand Response of HVACs in Large Residential Communities Based on Experimental Developments
Author:
Funder
Tennessee Valley Authority
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9235288/9235325/09235465.pdf?arnumber=9235465
Cited by 12 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. An Incentive-Compatible VPP Profit Allocation Model Considering the Operating Characteristics of Air Conditioning Loads;2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE);2024-04-26
2. Total and thermal load forecasting in residential communities through probabilistic methods and causal machine learning;Applied Energy;2023-12
3. Demand Response of HVAC Systems Using Data-Driven Approaches and Modelling Procedure;2022 22nd National Power Systems Conference (NPSC);2022-12-17
4. Optimal Thermal Comfort Based Energy Efficient Strategy of HVAC System using Supervised Learning Based Classifier with Demand Response;2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES);2022-12-14
5. Multi-Objective Control of Residential HVAC Loads for Balancing the User’s Comfort With the Frequency Regulation Performance;IEEE Transactions on Smart Grid;2022-09
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