Receding-Horizon Chiller Operation Planning via Collaborative Neurodynamic Optimization
Author:
Affiliation:
1. Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong
2. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/5446437/10217176.pdf?arnumber=10217176
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. A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model;Journal of Building Engineering;2024-10
2. Hybrid Model Predictive Control of Chiller Systems via Collaborative Neurodynamic Optimization;IEEE Transactions on Industrial Informatics;2024-07
3. A Collaborative Neurodynamic Optimization Algorithm of Eco-Routing with Electricity Allocation for PHEVs;Lecture Notes in Computer Science;2024
4. Distributed Chiller Loading via Collaborative Neurodynamic Optimization With Heterogeneous Neural Networks;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023
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