机译:基于3D空间特征和卷积神经网络的非侵入式载荷识别模型
College of Information Engineering & Hunan Province Engineering Research Center for Multi-Energy Collaborative Control Technology Xiangtan University Xiangtan China;
College of Information Engineering & Hunan Province Engineering Research Center for Multi-Energy Collaborative Control Technology Xiangtan University Xiangtan China;
College of Information Engineering & Hunan Province Engineering Research Center for Multi-Energy Collaborative Control Technology Xiangtan University Xiangtan ChinaWillfar Information Technologies Co. Ltd. Changsha China;
College of Information Engineering & Hunan Province Engineering Research Center for Multi-Energy Collaborative Control Technology Xiangtan University Xiangtan China;
School of Computer Science Xiangtan University Xiangtan China;
College of Information Engineering & Hunan Province Engineering Research Center for Multi-Energy Collaborative Control Technology Xiangtan University Xiangtan China;
Non-Intrusive Load Identification; Binary V-I Trajectory Feature; Three-Dimensional Feature; Convolutional Neural Network; Deep Learning;