Abstract is missing.
- Annoticity: A Smart Annotation Tool and Data Browser for Electricity DatasetsBenjamin Völker, Marc Pfeifer, Philipp M. Scholl, Bernd Becker 0001. 1-5 [doi]
- Solar Disaggregation: State of the Art and Open ChallengesXinlei Chen, Omid Ardakanian. 6-10 [doi]
- Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point LearningJack Barber, Heriberto Cuayáhuitl, Mingjun Zhong, Wenpeng Luan. 11-15 [doi]
- NILM based Energy Disaggregation Algorithm for Dairy FarmsAkhilesh Yadav, Anuj Sinha, Abdessamad Saidi, Christoph Trinkl, Wilfried Zörner. 16-19 [doi]
- Matrix Factorization for High Frequency Non Intrusive Load Monitoring: Definitions and AlgorithmsSimon Henriet, Benoit Fuentes, Umut Simsekli, Gaël Richard. 20-24 [doi]
- Bayesian model of electrical heating disaggregationFrançois Culière, Laetitia Leduc, Alexander Belikov 0003. 25-29 [doi]
- Finite Precision Analysis for an FPGA-based NILM Event-DetectorRubén Nieto, Laura de Diego-Otón, Álvaro Hernández, Jesús Ureña. 30-33 [doi]
- Evaluation of low-complexity supervised and unsupervised NILM methods and pre-processing for detection of multistate white goodsMohammad Khazaei, Lina Stankovic, Vladimir Stankovic 0001. 34-38 [doi]
- Stop: Exploring Bayesian Surprise to Better Train NILMRichard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic. 39-43 [doi]
- Edge computed NILM: a phone-based implementation using MobileNet compressed by Tensorflow LiteShamim Ahmed, Marc Bons. 44-48 [doi]
- Virtual metering of heat supplied by hydronic perimeter heaters in variable air volume zonesDarwish Darwazeh, Jean Duquette, Burak Gunay. 49-53 [doi]
- Non-Intrusive Load Monitoring of Water Heaters Using Low-Resolution DataChristy Green, Srinivas Garimella. 54-58 [doi]
- Energy Disaggregation for Small and Medium Businesses and their Operational CharacteristicsAbhinav Srivastava, Paras Tehria, Basant K. Pandey. 59-63 [doi]
- Explainable NILM NetworksDavid Murray, Lina Stankovic, Vladimir Stankovic 0001. 64-69 [doi]
- On the Relationship between Seasons of the Year and Disaggregation PerformanceJoão Gois, Christoph Klemenjak, Lucas Pereira. 70-74 [doi]
- On the Impact of the Sequence Length on Sequence-to-Sequence and Sequence-to-Point Learning for NILMAndreas Reinhardt, Mazen Bouchur. 75-78 [doi]
- Performance Analysis of Similar Appliances Identification using NILM Technique under Different Data Sampling RatesR. Gopinath, Mukesh Kumar, K. J. Lokesh, Kota Srinivas. 79-83 [doi]
- UNet-NILM: A Deep Neural Network for Multi-tasks Appliances State Detection and Power Estimation in NILMAnthony Faustine, Lucas Pereira, Hafsa Bousbiat, Shridhar Kulkarni. 84-88 [doi]
- BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load MonitoringZhenrui Yue, Camilo Requena Witzig, Daniel Jorde, Hans-Arno Jacobsen. 89-93 [doi]
- Phased: Phase-Aware Submodularity-Based Energy DisaggregationFaisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos. 94-98 [doi]
- An Open Problem: Energy Data Super-ResolutionRithwik Kukunuri, Nipun Batra 0001, Hongning Wang. 99-102 [doi]