Hybrid Transformer–Convolutional Neural Network Approach for Non-Intrusive Load Analysis in Industrial Processes by Gengsheng He, Yu Huang, Ying Zhang, Yuanzhe Zhu, Yuan Leng, Nan Shang, Jincan Zeng, Zengxin Pu

Subjects: “…Non-Intrusive Load Monitoring (NILM)…”
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Hybrid HDBSCAN-FHMM Approach for Energy Disaggregation in Non-Intrusive Load Monitoring (NILM) Systems by Leonce W. Tokam, Sena K. Apeke, Sanoussi S. Ouro-Djobo

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Online non-intrusive load monitoring: A review by David Cruz-Rangel, Carlos Ocampo-Martinez, Javier Diaz-Rozo

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Research on appliance event detection method based on intelligent perception technology by Ziyuan YANG, Xiaobin XU, Xin LI, Yimeng ZHAO

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Self-Adaptive Deep Learning Framework for Non-Intrusive Load Monitoring: Addressing Aging Appliance Challenges With Transfer Learning and Pseudo Labeling by W. A. Yasodya, S. M. L. Arampola, M. S. K. Nisakya, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

Subjects: “…Non-intrusive load monitoring (NILM)…”
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Confidence-Based, Collaborative, Distributed Continual Learning Framework for Non-Intrusive Load Monitoring in Smart Grids by Chaofan Lan, Qingquan Luo, Tao Yu, Minhang Liang, Zhenning Pan

Subjects: “…Non-Intrusive Load Monitoring (NILM)…”
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Federated learning-enhanced generative models for non-intrusive load monitoring in smart homes by Yuefeng Lu, Shijin Xu, Yadong Liu, Xiuchen Jiang

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AI-Enhanced Non-Intrusive Load Monitoring for Smart Home Energy Optimization and User-Centric Interaction by Xiang Li, Yunhe Chen, Xinyu Jia, Fan Shen, Bowen Sun, Shuqing He, Jia Guo

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Capturing High-Frequency Harmonic Signatures for NILM: Building a Dataset for Load Disaggregation by Farid Dinar, Sébastien Paris, Éric Busvelle

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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

Subjects: “…non-intrusive load monitoring (nilm)…”
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Non-intrusive Load Decomposition Model Based on Deep Fusion of Multi-modal Integration by YAO Gang, WANG Yun, WANG Yuanliang, SONG Zihao

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