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Titlebook: Control and Communication for Demand Response with Thermostatically Controlled Loads; Kai Ma,Pei Liu,Xinping Guan Book 2023 The Editor(s)

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發(fā)表于 2025-3-21 16:28:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Control and Communication for Demand Response with Thermostatically Controlled Loads
編輯Kai Ma,Pei Liu,Xinping Guan
視頻videohttp://file.papertrans.cn/238/237312/237312.mp4
概述Addresses control and communication for demand response in theory.Provides in-depth establishment of two major cost modeling methods.Studies major optimization strategies and resource allocation metho
圖書(shū)封面Titlebook: Control and Communication for Demand Response with Thermostatically Controlled Loads;  Kai Ma,Pei Liu,Xinping Guan Book 2023 The Editor(s)
描述The book focuses on control and communication for demand response with thermostatically controlled loads. This is achieved by providing in-depth study on a number of major topics such as load control, optimization strategies, communication network model, resource allocation methods, system design, implementation, and performance evaluation. Two major cost modeling methods are established in detail, which are cost modeling based on Taguchi Loss Function and cost modeling based on regulation errors. The comprehensive and systematic treatment of issues in optimization strategies and resource allocation for demand response are one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in control and communication. The book can benefit researchers, engineers, and graduate students in fields of control theory, automation, communication engineering and economics, etc.
出版日期Book 2023
關(guān)鍵詞Smart grid; Demand response; Thermostatically controlled loads; Control and communication; Cooperative r
版次1
doihttps://doi.org/10.1007/978-981-19-6876-1
isbn_softcover978-981-19-6878-5
isbn_ebook978-981-19-6876-1
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-21 21:27:47 | 只看該作者
major optimization strategies and resource allocation methoThe book focuses on control and communication for demand response with thermostatically controlled loads. This is achieved by providing in-depth study on a number of major topics such as load control, optimization strategies, communication
板凳
發(fā)表于 2025-3-22 03:45:22 | 只看該作者
https://doi.org/10.1007/978-3-658-12689-6tremely non-linear relationship between input and output. The simulation findings suggest that the fuzzy neural network control scheme outperforms other methods in frequency adjustment and improved user comfort.
地板
發(fā)表于 2025-3-22 05:20:43 | 只看該作者
Variation Based Dense 3D Reconstruction that can be solved using a binary dynamic multi-swarm particle swarm optimization method (DMS-PSO-CLS). The binary DMS-PSO-CLS algorithm is an effective way to tackle the optimization problem, according to simulation results. It is expected that TCLs will be controlled separately for frequency regulation in the grid.
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https://doi.org/10.1007/978-3-658-12808-1is unique for the follower-level payout selection game, and we design an iterative algorithm to find it. The simulation results show that this method can lower utility costs while increasing the profit of telecom operator.
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https://doi.org/10.1007/978-3-658-12852-4ay. At last, the impact of sensing data on network performance is researched. The simulation results show that the optimal power distribution and sensor data of the relay can reduce the cost of the utility company to recognize the wireless network in the smart grid.
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