Statistical and Electrical Features Evaluation for Electrical Appliances Energy Disaggregation
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- Hasan Rafiq & Xiaohan Shi & Hengxu Zhang & Huimin Li & Manesh Kumar Ochani, 2020. "A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing," Energies, MDPI, vol. 13(9), pages 1-26, May.
- Manuel Avila & Juana Isabel Méndez & Pedro Ponce & Therese Peffer & Alan Meier & Arturo Molina, 2021. "Energy Management System Based on a Gamified Application for Households," Energies, MDPI, vol. 14(12), pages 1-27, June.
- Mingzhe Zou & Shuyang Zhu & Jiacheng Gu & Lidija M. Korunovic & Sasa Z. Djokic, 2021. "Heating and Lighting Load Disaggregation Using Frequency Components and Convolutional Bidirectional Long Short-Term Memory Method," Energies, MDPI, vol. 14(16), pages 1-24, August.
- Ying Zhang & Bo Yin & Yanping Cong & Zehua Du, 2020. "Multi-State Household Appliance Identification Based on Convolutional Neural Networks and Clustering," Energies, MDPI, vol. 13(4), pages 1-12, February.
- Elnaz Azizi & Mohammad T. H. Beheshti & Sadegh Bolouki, 2021. "Event Matching Classification Method for Non-Intrusive Load Monitoring," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
- Mahfoud Drouaz & Bruno Colicchio & Ali Moukadem & Alain Dieterlen & Djafar Ould-Abdeslam, 2021. "New Time-Frequency Transient Features for Nonintrusive Load Monitoring," Energies, MDPI, vol. 14(5), pages 1-11, March.
- Pascal A. Schirmer & Iosif Mporas & Akbar Sheikh-Akbari, 2020. "Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors," Energies, MDPI, vol. 13(9), pages 1-17, May.
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Keywords
non-intrusive load monitoring (NILM); energy disaggregation; feature selection;All these keywords.
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