Identification of Similar Electrical Loads in Smart Homes with 100% Accuracy Provided by a Convolutional Neural Network with Minimum Parameters

IF 1.5 Q3 AUTOMATION & CONTROL SYSTEMS Journal of Control Automation and Electrical Systems Pub Date : 2022-09-19 DOI:10.1007/s40313-022-00956-5
H. Rocha, Wallyson C. Soares, L. Silvestre, W. Celeste, L. O. R. Junior, D. Coura, Jair A. L. Silva
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通过最小参数卷积神经网络,以100%的准确率识别智能家居中相似的电力负载
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来源期刊
CiteScore
4.10
自引率
6.70%
发文量
119
期刊介绍: Journal of Control, Automation and Electrical Systems, formerly Controle & Automacao, is the scientific journal of the Brazilian Society for Automatics (SBA).  The journal publishes original research papers as well as tutorials pertaining to industrial automation, intelligent systems, robotics, instrumentation, power electronics, power systems and control theory and applications. Contributions are welcome on research, development and/or innovation in any area of science or technology in which the novelty and implications to control and automation are made clear. Topics of interest include, but are not restricted to:• Alternative Sources of Energy• Automation Systems• Circuits and Systems• Computational Intelligence• Control Theory and Applications• Discrete Event Systems• Education in Control, Automation, Robotics and Mechatronics• Electrical Machines and Drives• Electric Power Systems• Electronic and Biomedical Instrumentation• Energy Efficiency• Intelligent Systems• Mechatronic Systems• Micro-grids and Intelligent Networks (Smart Grids)• Power Electronics• Robotics• Signal Processing• Systems Modelling, Identification, and Optimization
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