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Non-Intrusive Load Classification and Recognition Using Soft-Voting Ensemble Learning Algorithm With Decision Tree, K-Nearest Neighbor Algorithm and Multilayer Perceptron

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Non-Intrusive Appliance Identification with Appliance-Specific Networks

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Performance Analysis of Similar Appliances Identification using NILM Technique under Different Data Sampling Rates

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A collaborative framework for annotating energy datasets

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Low-Rate Non-Intrusive Load Disaggregation with Graph Shift Quadratic Form Constraint

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A Broadband Multi-Mode Compressive Sensing Current Sensor SoC in 0.16 $\mu$ m CMOS

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A Nonintrusive Load Monitoring Based on Multi-Target Regression Approach

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GREEND: An Energy Consumption Dataset of Households in Italy and AustriaPreprint

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Non-Intrusive Load Monitoring Based on Swin-Transformer with Adaptive Scaling Recurrence Plot

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Optimizing Generative AI Chatbots for Net-Zero Emissions Energy Internet-of-Things Infrastructure

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Low Complexity Event Detection Algorithm for Non- Intrusive Load Monitoring Systems

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Electric Water Boiler Energy Prediction: State-of-the-Art Review of Influencing Factors, Techniques, and Future Directions

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Integrating Graph Signal Processing and Multitask Temporal Convolutional Networks for Household Nonintrusive Load Monitoring

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Cost-effective instrumentation via NILM to support a residential energy management system

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Universal Non-Intrusive Load Monitoring (UNILM) Using Filter Pipelines, Probabilistic Knapsack, and Labelled Partition Maps

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Non-Intrusive Load Monitoring (NILM) – A Recent Review with Cloud Computing

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Trainingless Energy Disaggregation Without Plug-Level Sensing

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Efficient Supervised Machine Learning Network for Non-Intrusive Load Monitoring

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Improving Knowledge Distillation for Non-Intrusive Load Monitoring Through Explainability Guided Learning

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Resilient Event Detection Algorithm for Non-Intrusive Load Monitoring Under Non-Ideal Conditions Using Reinforcement Learning

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A Fusion Load Disaggregation Method Based on Clustering Algorithm and Support Vector Regression Optimization for Low Sampling Data

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Functional Data Analysis of high-frequency load curves reveals drivers of residential electricity consumption

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MC-NILM: A Multi-Chain Disaggregation Method for NILM

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Mitigating consumer privacy breach in smart grid using obfuscation-based generative adversarial network

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An Event Matching Energy Disaggregation Algorithm Using Smart Meter Data

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A Consumer Bill of Rights for Energy Conservation

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A measurement system for creating datasets of on/off-controlled electrical loads

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Data Consistency for Data-Driven Smart Energy Assessment

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An Optimal Load Disaggregation Method Based on Power Consumption Pattern for Low Sampling Data

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Context-Aware Plug-Load Identification Toward Enhanced Energy Efficiency in the Built Environment

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Application of the Time-Domain Signal Analysis for Electrical Appliances Identification in the Non-Intrusive Load Monitoring

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Real-time smart metering with reduced communication and bounded error

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Appliance Event Detection - A Multivariate, Supervised Classification Approach

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Applications of Non-Intrusive Load Monitoring Towards Smart and Sustainable Power Grids: A System Perspective

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Authenticated down-sampling for privacy-preserving energy usage data sharing

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Evaluation of regression models and Bayes-Ensemble Regressor technique for non-intrusive load monitoring

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Nonintrusive Load Disaggregation Based on Attention Neural Networks

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A novel application of machine learning techniques for activity-based load disaggregation in rural off-grid, isolated solar systems

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Non-Intrusive Load Monitoring Based on Multiscale Attention Mechanisms

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Load profiling revisited: prosumer profiling for local energy markets

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Clustering Appliance Operation Modes With Unsupervised Deep Learning Techniques

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Event-triggered real-time metering in smart grids

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