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

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Items 101–200 of 593

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2. Leveraging sequence-to-sequence learning for online non-intrusive load monitoring in edge device
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3. Does data visualization affect users’ understanding of electricity consumption?
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4. Prospects of Appliance-Level Load Monitoring in Off-the-Shelf Energy Monitors: A Technical Review
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5. Does historical data still count? Exploring the applicability of smart building applications in the post-pandemic period
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6. A Generalizable Load Recognition Method in NILM Based on Transferable Random Forest
   Zhongzong Yan, Pengfei Hao, Matteo Nardello, Davide Brunelli, He Wen · 2025 · IEEE Transactions on Instrumentation and Measurement
7. INDiC: Improved Non-intrusive Load Monitoring Using Load Division and Calibration
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8. Development of an Intelligent System for Smart Home Energy Disaggregation Using Stacked Denoising Autoencoders
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9. What can we learn from high-frequency appliance-level energy metering? Results from a field experiment
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10. Combined heat and privacy: Preventing occupancy detection from smart meters
    Dong Chen, David Irwin, Prashant J. Shenoy, Jeannie R. Albrecht · 2014 · IEEE International Conference on Pervasive Computing and Communications
11. NILM-based approach for energy efficiency assessment of household appliances
    Fernando D. Garcia, Wesley Angelino de Souza, Ivando Severino Diniz, Fernando Pinhabel Marafão · 2020 · Energy Informatics
12. An Evaluation of NILM Approaches on Industrial Energy-Consumption Data
    Florian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm · 2021 · ACM International Conference on Future Energy Systems (e-Energy)
13. Appliance level energy characterization of residential electricity demand: prospects, challenges and recommendations
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14. Implementation Strategy of Convolution Neural Networks on Field Programmable Gate Arrays for Appliance Classification Using the Voltage and Current (V-I) Trajectory
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15. On time series representations for multi-label NILM
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16. A mixed-integer programming approach for industrial non-intrusive load monitoring
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17. Extracting discriminative features for event-based electricity disaggregation
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18. A Generalizable Method for Practical Non-Intrusive Load Monitoring via Metric-Based Meta-Learning
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19. Towards non-intrusive thermal load Monitoring of buildings: BES calibration
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20. Managing Communication Delays and Model Error in Demand Response for Frequency Regulation
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21. Building electricity consumption: Data analytics of building operations with classical time series decomposition and case based subsetting
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22. Competitive Autoassociative Neural Networks for Electrical Appliance Identification for Non-Intrusive Load Monitoring
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23. Smart Meters and Smart Devices in Buildings: a Review of Recent Progress and Influence on Electricity Use and Peak Demand
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24. Data mining of smart meters for load category based disaggregation of residential power consumption
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25. A Context-Aware Multi-Event Identification Method for Nonintrusive Load Monitoring
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26. Better home energy audit modelling: incorporating inhabitant behaviours
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27. SmartSim: A device-accurate smart home simulator for energy analytics
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28. Monitor: An Abnormality Detection Approach in Buildings Energy Consumption
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29. Application of a Deep Learning Generative Model to Load Disaggregation for Industrial Machinery Power Consumption Monitoring
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30. Evaluation of Non-intrusive Load Monitoring Algorithms for Appliance-level Anomaly Detection
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31. Non-Intrusive Load Monitoring using Electricity Smart Meter Data: A Deep Learning Approach
    Michael A. Devlin, Barry Patrick Hayes · 2019 · IEEE Power Engineering Society General Meeting
32. Computational Cost Analysis and Data-Driven Predictive Modeling of Cloud-Based Online-NILM Algorithm
    Mulugeta Weldezgina Asres, Luca Ardito, Edoardo Patti · 2021 · IEEE Transactions on Cloud Computing
33. Load hiding of household's power demand
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34. Big data to the rescue? Challenges in analysing granular household electricity consumption in the United Kingdom
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35. Knowledge Graphs and Big Data Processing
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36. An Artificial Intelligence-Driven Smart Home Towards Energy Efficiency: An Overview and Conceptual Model
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37. Non-Intrusive Load Monitoring in industrial settings: A systematic review
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38. Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring
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39. Non-intrusive load transient identification based on multivariate LSTM neural network and time series data augmentation
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40. Enhancing non-intrusive load monitoring through transfer learning with transformer models
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41. Status and challenges of residential and industrial non-intrusive load monitoring
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42. Fundamental limits of nonintrusive load monitoring
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43. An Iterative Load Disaggregation Approach Based on Appliance Consumption Pattern
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44. The Adoption of New Smart-Grid Technologies: Incentives, Outcomes, and Opportunities
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45. Gemello
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46. Predicting intra-day load profiles under time-of-use tariffs using smart meter data
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47. A Machine Learning Framework to Infer Time-of-Use of Flexible Loads: Resident Behavior Learning for Demand Response
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48. Application-oriented modelling of domestic energy demand
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49. Consumers’ Perspective on Full-Scale Adoption of Smart Meters: A Case Study in Västerås, Sweden
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50. Real-Time Energy Disaggregation of a Distribution Feeder's Demand Using Online Learning
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51. DOSE: Detecting user-driven operating states of electronic devices from a single sensing point
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52. Non-Intrusive Load Monitoring (NILM): Unsupervised Machine Learning and Feature Fusion : Energy Management for Private and Industrial Applications
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53. A Practical Approach to Residential Appliances on-Line Anomaly Detection: A Case Study of Standard and Smart Refrigerators
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54. Internet of Things based Demand Side Energy Management System using Non-Intrusive Load Monitoring
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55. Non-Intrusive Appliance Identification with Appliance-Specific Networks
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56. Energy Disaggregation Using Energy Demand Model and IoT-Based Control
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57. FHMM Based Industrial Load Disaggregation
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58. Comparative Evaluation of Machine Learning Models and Input Feature Space for Non-intrusive Load Monitoring
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59. Impact of wide-spread use of uninterruptible power supplies on Pakistan's power system
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60. Predictive segmentation of energy consumers
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61. Heterogeneity in time and energy use of watching television
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62. A semi-synthetic dataset development tool for household energy consumption analysis
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63. HIPE
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64. THE INTEGRATED APPROACH TO SUSTAINABLE DEVELOPMENT: THE CASE OF ENERGY EFFICIENCY AND SOLID WASTE MANAGEMENT
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65. MORED: A Moroccan Buildings’ Electricity Consumption Dataset
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66. Countering Presence Privacy Attack in Efficient AMI Networks Using Interactive Deep-Learning
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67. Torch-NILM: An Effective Deep Learning Toolkit for Non-Intrusive Load Monitoring in Pytorch
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73. Incentive Design and Utility Learning via Energy Disaggregation
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74. Software defined network management for dynamic smart GRID traffic
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75. Real Time Monitoring of AMR Enabled Energy Meter for AMI in Smart City - An IoT Application
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77. Multi-State Energy Classifier to Evaluate the Performance of the NILM Algorithm
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78. Residential Electrical Load Monitoring and Modeling – State of the Art and Future Trends for Smart Homes and Grids
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79. Is smart water meter temporal resolution a limiting factor to residential water end-use classification? A quantitative experimental analysis
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80. Private Memoirs of IoT Devices: Safeguarding User Privacy in the IoT Era
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82. A Review of Non-Intrusive Load Monitoring Applications in Industrial and Residential Contexts
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83. The mitigating effect of strategic behavior on the net benefits of a direct load control program
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86. Matrix Factorisation for Scalable Energy Breakdown
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87. A Tree-Structured Neural Network Model for Household Energy Breakdown
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88. Disaggregating power consumption of commercial buildings based on the finite mixture model
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89. Finding the Right Consumers for Thermal Demand-Response: An Experimental Evaluation
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90. Robust Day-Ahead Forecasting of Household Electricity Demand and Operational Challenges
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91. Measurement system and dataset for in-depth analysis of appliance energy consumption in industrial environment
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92. MFRED, 10 second interval real and reactive power for groups of 390 US apartments of varying size and vintage
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93. How does regional integration policy affect urban energy efficiency? A quasi-natural experiment based on policy of national urban agglomeration
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96. Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions
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100. Energy audits and eco-feedback: Exploring the barriers and facilitators of agricultural energy efficiency improvements on Australian farms
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