Is disaggregation the holy grail of energy efficiency? The case of electricity

Cited by (593)

Items 401–500 of 593

1. Nonintrusive Load Monitoring Using Support Vector Machine
   Universiti Kebangsaan Malaysia, Khairuddin Khalid, Azah Mohamed, Ramizi Mohamed, Nor Azwan Mohamed Kamari · 2018 · Jurnal Kejuruteraan
2. Weightless Neural Networks Applied to Nonintrusive Load Monitoring
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3. Deep learning based non-intrusive load monitoring with low resolution data from smart meters
   Marco Manolo Manca, Luca Massidda · 2022 · Communications in Applied and Industrial Mathematics
4. A low-level set of stationary features dedicated to non-intrusive load monitoring
   Farid Dinar, Romain Chayla, Sébastien Paris, Éric Busvelle · 2022 · HAL
5. Demand Side Flexibility Envelope Quantification Under Data Scarcity
   Liudong Chen, Xiangqi Zhu, Bolun Xu, Fei Ding · 2024 · IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
6. Non-intrusive Load Monitoring on the Edge of the Network: A Smart Measurement Node
   Hugo Woehrl, Davide Brunelli · 2020 · Lecture notes in electrical engineering
7. Identification of the State of Electrical Appliances with the Use of a Pulse Signal Generator
   Augustyn Wójcik, Piotr Bilski, Robert Łukaszewski, Krzysztof Dowalla, Ryszard Kowalik · 2021 · Energies
8. Energy fault detection for small buildings based on peer comparison of estimated operating status
   Hidenori Komatsu, Osamu Kimura · 2021 · Energy and Buildings
9. Evaluation of Features Generated by a High-End Low-Cost Electrical Smart Meter
   Christina Koutroumpina, Spyros Sioutas, Stelios Koutroubinas, Kostas Tsichlas · 2021 · Algorithms
10. An analysis of the optimization disaggregation algorithm in the estimation related to energy consumption of appliances in buildings
    Qi Shen, Xin Wang · 2014 · Applied Mathematics and Computation
11. SEADS: A modifiable platform for real time monitoring of residential appliance energy consumption
    Ali Adabi, Pavlo Manovi, Patrick E. Mantey · 2015 · International Green and Sustainable Computing Conference
12. Household electricity load disaggregation based on low-resolution smart meter data
    Hiroshi Chin, Kenji Tanaka, Abe Rikiya · 2016 · International Journal of Smart Grid and Clean Energy
13. Temporal association rules for electrical activity detection in residential homes
    Hông-Ân Cao, Tri Kurniawan Wijaya, Karl Aberer, Nuno Nunes · 2016 · IEEE International Conference on Big Data (BigData)
14. Yay - an open-hardware energy measurement system for feedback and appliance detection based on the arduino platform
    Christoph Klemenjak, Wilfried Elmenreich · 2017 · Workshop on Intelligent Solutions in Embedded Systems
15. Smart Microgrids: Optimizing Local Resources toward Increased Efficiency and a More Sustainable Growth
    Wilfried Elmenreich, Tamer Khatib, Andrea Monacchi · 2017 · InTech eBooks
16. Hybrid Iterative Algorithm for Non-Intrusive Load Disaggregation
    Muhammad Ahsan Ayub, Naveed Ul Hassan, Chau Yuen · 2018 · International Conference on Communications
17. Investigating the Appliance Use Patterns on the Households’ Electricity Load Shapes from Smart Meters
    Milad Afzalan, Farrokh Jazizadeh · 2019 · ASCE International Conference on Computing in Civil Engineering (i3CE)
18. Understanding the performance gap : an evaluation of the energy efficiency of three high-performance buildings in British Columbia
    Anne-Mareike Chu · 2016 · cIRcle (University of British Columbia)
19. Practical Insights from Implementing Event-Based NILM Systems
    Justus Breyer, Jonas Koerhuis, Muhammad Hamad Alizai, Klaus Wehrle · 2025 · ACM International Conference on Future Energy Systems (e-Energy)
20. Non-intrusive load monitoring based on waveform restoration and feature fusion under complex backgrounds
    Fuming Huo, Qingquan Luo, Tao Yu, Keying Wang, Zhihong Liang, Minhang Liang, Zhenning Pan · 2025 · Measurement Science and Technology
21. Maintaining Privacy and Utility in IoT System Analytics
    Daniel Mossé, Henrique Pötter, Stephen Lee · 2020 · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)
22. Non-dominated solutions for time series learning and forecasting
    Vitor N. Coelho, Roozbeh Haghnazar Koochaksaraei · 2021 · Optimization Letters
23. Machine learning algorithms for electrical appliances monitoring system using open-source systems
    Viet Duong Hoang, Nguyen Hoang Nam · 2022 · IAES International Journal of Artificial Intelligence
24. Non-intrusive Status Prediction of Residential Appliances using Supervised Learning Techniques
    Muhammad Zaigham Abbas, Intisar Ali Sajjad, Rehan Liaqat, Tanveer Khursheed, Muhammad Awais, Muhammad Saqib Javed · 2023 · International Conference on Energy Conservation and Efficiency (ICECE)
25. Toward Social Awareness in the Smart Grid
    Arvind Singh, Akash Pooransingh, Craig J. Ramlal, Sean Rocke · 2016 · International Conference on Computational Intelligence and Communication Networks (CICN)
26. Disaggregating Load by Type from Distribution System Measurements in Real Time
    Gregory S. Ledva, Zhe Du, Laura Balzano, Johanna L. Mathieu · 2018 · The IMA volumes in mathematics and its applications
27. Grid-interactive rooftop photovoltaic clusters with third-party ownership
    Kumudu N. Amarawardhana, Shantha Gamini Jayasinghe, Farhad Shahnia · 2020 · International Journal of Smart Grid and Clean Energy
28. ANNO: A Time Series Annotation Tool to Evaluate Event Detection Algorithms
    Jana Huchtkoetter, Andreas Reinhardt, Sakif Hossain · 2020 · Communications in computer and information science
29. Multi-Label Auto-Encoder based Electrical Load Disaggregation
    Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M Girish Chandra · 2020 · International Joint Conference on Neural Networks (IJCNN)
30. The Impact of Ambient Sensing on the Recognition of Electrical Appliances
    Jana Huchtkoetter, Marcel Alwin Tepe, Andreas Reinhardt · 2021 · Energies
31. Poster Abstract
    Emil Holmegaard, Mikkel Baun Kjærgaard · 2015 · ACM International Conference on Future Energy Systems (e-Energy)
32. Significance of Classifier and Feature Selection in Automatic Identification of Electrical Appliances
    Samira Ghorbanpour, Rammohan Mallipeddi · 2018 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
33. Building Virtual Power Meters for Online Load Tracking
    Sean Barker, Sandeep Kalra, David Irwin, Prashant J. Shenoy · 2019 · ACM Transactions on Cyber-Physical Systems
34. A Multi-objective Non-intrusive Load Monitoring Method Based on Deep Learning
    Hua Min Yu, Zhiwei Jiang, Yaping Li, Jing Li Zhou, Ke Wang, Zifeng Cheng, Qing Gu · 2019 · IOP Conference Series Materials Science and Engineering
35. Retracted: IoT Based Smart Energy Forecasting and Data Logging System
    S. A. Sivakumar, R Kumar, B. Ayshwarya, Shanmugasundaram Hariharan, Muruganantham Ponnusamy, R Senthil Ganesh · 2021 · International Conference on Computing Methodologies and Communication (ICCMC) · Retracted
36. Impact of NILM-based energy efficiency on environmental degradation and kuznets hypothesis analysis
    Keh-Kim Kee, Yun Seng Lim, Jianhui Wong, Kein Huat Chua · 2022 · Bulletin of Electrical Engineering and Informatics
37. Non-intrusive major industrial equipment monitoring based on deep learning
    Yanbin Wang, Zheng Yang, Xiang Liu, Longfei Wang, Yue Lan · 2021 · International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)
38. A Knowledge Based Approach for Disaggregation of Low Frequency Consumption Data
    Krishnan Srinivasarengan, Y. G. Goutam, M Girish Chandra · 2014 · Advances in intelligent systems and computing
39. Exploiting Breadth in Energy Datasets for Automated Device Identification
    Sean Barker, Kyle Morrison, Tucker Williams · 2019 · IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
40. Responsible and Safe Home Metering
    Libor Polčák · 2023 · Advances in information security, privacy, and ethics book series
41. Detailed Energy Analysis of a Sheet-Metal-Forming Press from Electrical Measurements
    C. Carrillo, E. Díaz-Dorado, José Cidrás Pidre, Julio Garrido Campos, Diego San Facundo López, Luiz A. Lisboa Cardoso, Cristina Isabel Martínez Castañeda, José Florencio Sánchez Rúa · 2023 · Energies
42. Active Collaborative Sensing for Energy Breakdown
    Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse · 2019 · ACM International Conference on Information and Knowledge Management (CIKM)
43. Construct Fine-grained Energy Big Data Using NILM Technology
    Yan Liu, Ruiming Yuan, Xiaokun Yang, Bo Liu, Ruiqi Zhang · 2021 · Asia Energy and Electrical Engineering Symposium (AEEES)
44. smartSDH: An Experimental Study of Mechanism-Based Building Control
    Ioannis C. Konstantakopoulos, Kristy A. Hamilton, Yashaswini Murthy, Tanya Veeravalli, Costas J. Spanos, Roy Dong · 2022 · IEEE Systems Journal
45. A scalable and practical method for disaggregating heating and cooling electrical usage using smart thermostat and smart metre data
    Sang woo Ham, Panagiota Karava, Ilias Bilionis, James E. Braun · 2022 · Journal of Building Performance Simulation
46. Load Disaggregation Through Particle Filtering of Harmonic Features
    Aarón Raúl Poyatos Bakker, Viktor Isanbaev, Jose‐Luis Blanco, Eduardo Viciana, Jorge Ventura, Francisco Manuel Arrabal Campos, Raúl Baños, Alfredo Alcayde, Francisco G. Montoya · 2022 · International Conference on Harmonics and Quality of Power
47. Targeted preprossessing for weight reduction in NILM datasets
    Francisco Antonio Carrasco Serrano, Johanna Friederike May · 2022 · IEEE International Energy Conference (ENERGYCON)
48. Technoeconomic Review of Smart Metering Applications
    Nikolaos Efkarpidis, Martin Geidl, Holger Wache, Marco Peter, Marc Adam · 2023 · Lecture notes in energy
49. An Active Sensing Method of Power System Load Network Based on Sweep Frequency Response Analysis
    Delong Lu, Chengxu Tong, Zhijian Wu, Xinyi Huang, Xinhao Wang, Lei Zhou, Qingshan Xu · 2023 · IEEE Transactions on Instrumentation and Measurement
50. Advanced Filtering of Unknown Devices in Event-Based NILM
    Justus Breyer, Muhammad Hamad Alizai, Sandeep Samant, Klaus Wehrle · 2024 · ACM SIGEnergy Energy Informatics Review
51. In-Home Behavioral Observation Method Employing Internet of Things Sensors for Barrier Investigation of Energy Saving Activities
    Shunichi Hattori, Teruhisa Miura, Reiko Ichikawa, Daiki Sawai · 2019 · International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI)
52. Kaiyu Analytics Enhances the Value of the City: The Town Equity and Big Data
    Saburo Saito, Kosuke Yamashiro, Masakuni Iwami · 2023 · New frontiers in regional science: Asian perspectives
53. The Adoption of New Smart-Grid Technologies
    Christopher Guo, Craig A. Bond, Anu Narayanan · 2015
54. Nuclear norm regularized robust dictionary learning for energy disaggregation
    Megha Gupta, Angshul Majumdar · 2016 · European Signal Processing Conference (EUSIPCO)
55. A linear approach to manage input delays while supplying frequency regulation using residential loads
    Gregory S. Ledva, Johanna L. Mathieu · 2017 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
56. An unsupervised approach for disaggregating major loads in small commercial buildings
    Saman Mostafavi, John O. Troxler, Robert W. Cox · 2017 · IEEE Energy Conversion Congress and Exposition (ECCE)
57. Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness
    Kriti Kumar, M Girish Chandra, A Anil Kumar, Naveen Kumar Thokala · 2019 · ACM International Conference on Future Energy Systems (e-Energy)
58. Experimenting Non-Contact Power Measurement for 3-Phase Residential Applications
    Carlo Guarnieri Calò Carducci, Ferdinanda Ponci, Antonello Monti · 2019 · IEEE International Instrumentation and Measurement Technology Conference
59. Energy and enjoyment: The value of household electricity consumption
    Philipp Grünewald, Marina Diakonova · 2019 · Elsevier eBooks
60. Embedded NILM as Home Energy Management System: A Heterogeneous Computing Approach
    Fernando Deluno Garcia, Wesley Angelino de Souza, Fernando Pinhabel Marafão · 2019 · IEEE Latin America Transactions
61. Non-Intrusive Load Monitoring based on Deep Neural Network and Differential Current
    Shaokang Ding, Hongwei Zhu · 2020 · IOP Conference Series Earth and Environmental Science
62. Rent-a-Watt: Rethinking energy use feedback
    Stephen Snow, Toby Guinea, Alexander Balson, Awais Hameed Khan, Mashhuda Glencross, Neil Horrocks · 2020 · Australian Conference on Human-Computer Interaction (OzCHI)
63. Non-intrusive load monitoring
    Gopinath Rajendiran · 2022 · ACM International Conference on Future Energy Systems (e-Energy)
64. Processamento confidencial de dados de sensores na nuvem
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65. Real-Time Event Detection for Energy Data Streams
    Aqeel Kazmi, Michael J. O’Grady, Gregory M. P. O’Hare · 2014 · Lecture notes in computer science
66. Non-Intrusive Appliance Load Monitoring in an Intelligent Device at the Edge layer
    Jose Alonso Aguirre-Nunez, Juan Pablo Serrano-Rubio, Rafael Herrera‐Guzmán · 2020 · International Joint Conference on Neural Networks (IJCNN)
67. Appliance Operation Modes Identification Using Cycles Clustering
    Abdelkareem Jaradat, Hanan L. Lutfiyya, Anwar Haque · 2021 · arXiv (Cornell University)
68. Optimization applied to residential non-intrusive load monitoring
    Fernando Marcos Wittmann · 2017
69. Cluster-Wise Response Aggregation-Based Differentially Private Pool Energy Market Model
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70. Comparison of Appliance Signature Classification Methods for Non-Intrusive Load Monitoring
    Keshawa Ratnayake, Mahela Pandukabhaya, Praveen Sumanasekara, Uthpala Ratnayake, Roshan Indika Godaliyadda, Janaka Bandara Ekanayake, Parakrama Ekanayake, Vijitha Rohana Herath · 2024
71. A refined framework for energy disaggregation using load–temperature plots in cooling-dominated academic buildings
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72. The path to energy saving: new energy demonstration city policy and energy transition development
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73. TransSense: A multilevel attention and rotary positional embedding‐based transformer for load disaggregation
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74. Automating appliance verification in facilities management using a denoised Voltage-Current feature extraction and classification pipeline
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75. Performance Enhancement of Non-Intrusive Load Monitoring Based on Adaptive Multi-Scale Attention Integration Module
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76. QLID-Net: A Hybrid Quantum-Classical Neural Network for Robust and Data-Efficient Smart Grid Load Identification
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77. Cross-Atlantic research agenda for scalable grid architectures and distributed flexibility
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78. Insert-coin
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79. Inscribed fitting method with asymmetric evaluation function for disaggregating current waveforms
    Fumihiko Ishiyama, Toshio Watanabe, Hiroshi Inoue, Takashi Ohyama · 2015 · IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
80. Methods and applications for electricity demand disaggregation in developing countries
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81. Comparative feedbacks under incomplete information
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82. Utilizing the Interconnectivity of Multi-Sector Communities for Innovative Building Energy Efficiency Methods
    Kevin J. Ketchman · 2018 · D-Scholarship@Pitt (University of Pittsburgh)
83. Notice of Violation of IEEE Publication Principles: A graph-based signal processing approach for non-intrusive load disaggregation
    Xiaofeng Liu, Mingyue Zhai, Zheng-yan Xie · 2017 · International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
84. Prior Day Effect in Forecasting Daily Natural Gas Flow from Monthly Data
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85. Identificação de Perfis de Consumo Domiciliar de Energia Elétrica a partir de Algoritmos de Agrupamento
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86. Deep Learning Based Active Power Disaggregation of Appliances for Personalized Energy Feedback System
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87. Event-Based Clustering with Energy Data
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88. NILM-Net: Anonymous Coordination of Real-Time Power Monitors for Smart Grid Applications
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89. EcoWatt: An Electricity Management App to Illuminate Community-Driven Sustainability in Student Accommodations
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90. Developing a Smart Energy Service Canvas
    Jennifer Günter, Lukas Fabri, Simon Wenninger, Can Kaymakci · 2024 · Schmalenbach Journal of Business Research
91. Multisource Domain Adaptation for Nonintrusive Load Monitoring Through Data Distillation
    Wenpeng Luan, Ruiqi Zhang, Bo Liu, Mingjun Zhong, Keke Li · 2025 · IEEE Transactions on Instrumentation and Measurement
92. A frequency based short-term reliability index considering feedback control constraints and renewable energy source incorporation
    Kofi Afrifa Agyeman, Sekyung Han, Ryota Umezawa · 2016 · IEEE Power Engineering Society General Meeting
93. ZigBee-Based Real-Time Energy Disaggregation System Using Factorial Hidden Markov Model
    Kwang‐Soon Choi, Bo-Won YANG · 2017 · DEStech Transactions on Environment Energy and Earth Science
94. Association Rule Mining of Household Electrical Energy Usage
    Devika Bhagwandin, Vrijesh Tripathi, Patrick A. Hosein · 2017 · International Conference on Data Mining, Communications and Information Technology (DMCIT)
95. Inferring Appliance Energy Usage from Smart Meters using Fully Convolutional Encoder Decoder Networks
    Felan Carlo C. Garcia, Erees Queen B. Macabebe · 2017 · ACM International Conference on Information and Knowledge Management (CIKM)
96. Remote Identification of Electrical Devices Using Dynamic Time Warping
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97. Monitoring LED Lights with Current Signatures
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98. Energy Disaggregation for SMEs using Recurrence Quantification Analysis
    Laura Hattam, Danica Vukadinović Greetham · 2018 · ACM International Conference on Future Energy Systems (e-Energy)
99. PhD Forum: Scalable Energy Disaggregation: Data, Dimension and Beyond
    Nilavra Pathak · 2018 · IEEE International Conference on Smart Computing
100. A Deep Learning Based Method for Heat Pump Dryer User Classification
     Tudor Toma, Kaustav Basu, Wilder Rodrigues, Stephen J. Galsworthy · 2018 · Annual Conference of the IEEE Industrial Electronics Society (IECON)