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Publication search results
found 22 matches
- 2020
- Shamim Ahmed, Marc Bons:
Edge computed NILM: a phone-based implementation using MobileNet compressed by Tensorflow Lite. NILM@SenSys 2020: 44-48 - Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
:
Phased: Phase-Aware Submodularity-Based Energy Disaggregation. NILM@SenSys 2020: 94-98 - Jack Barber, Heriberto Cuayáhuitl, Mingjun Zhong
, Wenpeng Luan:
Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning. NILM@SenSys 2020: 11-15 - Xinlei Chen, Omid Ardakanian
:
Solar Disaggregation: State of the Art and Open Challenges. NILM@SenSys 2020: 6-10 - François Culière, Laetitia Leduc, Alexander Belikov:
Bayesian model of electrical heating disaggregation. NILM@SenSys 2020: 25-29 - Darwish Darwazeh
, Jean Duquette, Burak Gunay:
Virtual metering of heat supplied by hydronic perimeter heaters in variable air volume zones. NILM@SenSys 2020: 49-53 - Anthony Faustine, Lucas Pereira
, Hafsa Bousbiat, Shridhar Kulkarni:
UNet-NILM: A Deep Neural Network for Multi-tasks Appliances State Detection and Power Estimation in NILM. NILM@SenSys 2020: 84-88 - João Gois, Christoph Klemenjak, Lucas Pereira
:
On the Relationship between Seasons of the Year and Disaggregation Performance. NILM@SenSys 2020: 70-74 - R. Gopinath
, Mukesh Kumar, K. J. Lokesh, Kota Srinivas:
Performance Analysis of Similar Appliances Identification using NILM Technique under Different Data Sampling Rates. NILM@SenSys 2020: 79-83 - Christy Green, Srinivas Garimella
:
Non-Intrusive Load Monitoring of Water Heaters Using Low-Resolution Data. NILM@SenSys 2020: 54-58 - Simon Henriet, Benoit Fuentes, Umut Simsekli, Gaël Richard:
Matrix Factorization for High Frequency Non Intrusive Load Monitoring: Definitions and Algorithms. NILM@SenSys 2020: 20-24 - Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic:
Stop: Exploring Bayesian Surprise to Better Train NILM. NILM@SenSys 2020: 39-43 - Mohammad Khazaei, Lina Stankovic, Vladimir Stankovic
:
Evaluation of low-complexity supervised and unsupervised NILM methods and pre-processing for detection of multistate white goods. NILM@SenSys 2020: 34-38 - Rithwik Kukunuri, Nipun Batra, Hongning Wang
:
An Open Problem: Energy Data Super-Resolution. NILM@SenSys 2020: 99-102 - David Murray, Lina Stankovic, Vladimir Stankovic
:
Explainable NILM Networks. NILM@SenSys 2020: 64-69 - Rubén Nieto
, Laura de Diego-Otón, Álvaro Hernández, Jesús Ureña
:
Finite Precision Analysis for an FPGA-based NILM Event-Detector. NILM@SenSys 2020: 30-33 - Andreas Reinhardt, Mazen Bouchur:
On the Impact of the Sequence Length on Sequence-to-Sequence and Sequence-to-Point Learning for NILM. NILM@SenSys 2020: 75-78 - Abhinav Srivastava, Paras Tehria, Basant K. Pandey:
Energy Disaggregation for Small and Medium Businesses and their Operational Characteristics. NILM@SenSys 2020: 59-63 - Benjamin Völker
, Marc Pfeifer, Philipp M. Scholl, Bernd Becker
:
Annoticity: A Smart Annotation Tool and Data Browser for Electricity Datasets. NILM@SenSys 2020: 1-5 - Akhilesh Yadav, Anuj Sinha, Abdessamad Saidi, Christoph Trinkl, Wilfried Zörner:
NILM based Energy Disaggregation Algorithm for Dairy Farms. NILM@SenSys 2020: 16-19 - Zhenrui Yue, Camilo Requena Witzig, Daniel Jorde, Hans-Arno Jacobsen:
BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring. NILM@SenSys 2020: 89-93 - NILM '20, Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring, November18, 2020, Virtual Event, Japan. ACM 2020, ISBN 978-1-4503-8191-8 [contents]
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