| On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring | Dec 12, 2019 | BIG-bench Machine LearningNon-Intrusive Load Monitoring | CodeCode Available | 0 | 5 |
| Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances | Jul 18, 2023 | energy managementManagement | CodeCode Available | 0 | 5 |
| Challenges in Gaussian Processes for Non Intrusive Load Monitoring | Nov 18, 2022 | Gaussian ProcessesNon-Intrusive Load Monitoring | CodeCode Available | 0 | 5 |
| Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network | Nov 15, 2019 | DecoderDenoising | CodeCode Available | 0 | 5 |
| Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation | Jun 25, 2025 | Data AugmentationNon-Intrusive Load Monitoring | CodeCode Available | 0 | 5 |
| Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series | Jun 6, 2025 | AllNon-Intrusive Load Monitoring | CodeCode Available | 0 | 5 |
| Toward Explainable NILM: Real-Time Event-Based NILM Framework for High-Frequency Data | Jan 28, 2025 | Non-Intrusive Load Monitoring | CodeCode Available | 0 | 5 |
| Learning Task-Aware Energy Disaggregation: a Federated Approach | Apr 14, 2022 | Federated LearningMeta-Learning | CodeCode Available | 0 | 5 |
| A Hybrid Event Detection Approach for Non-Intrusive Load Monitoring | Mar 21, 2019 | Event DetectionNon-Intrusive Load Monitoring | —Unverified | 0 | 0 |
| Benchmarking Active Learning for NILM | Nov 24, 2024 | Active LearningBenchmarking | —Unverified | 0 | 0 |
