NILM@SenSys

Keyphrases

Publications

2020

NILM '20, Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring, November18, 2020, Virtual Event, Japan. NILM@SenSys (2020)
Shamim Ahmed, Marc Bons
Edge computed NILM: a phone-based implementation using MobileNet compressed by Tensorflow Lite. NILM@SenSys (2020)
David Murray, Lina Stankovic, Vladimir Stankovic
Explainable NILM Networks. NILM@SenSys (2020)
Christy Green, Srinivas Garimella
Non-Intrusive Load Monitoring of Water Heaters Using Low-Resolution Data. NILM@SenSys (2020)
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)
Zhenrui Yue, Camilo Requena Witzig, Daniel Jorde, Hans-Arno Jacobsen
BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring. NILM@SenSys (2020)
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)
Rubén Nieto, Laura de Diego-Otón, Álvaro Hernández, Jesús Ureña
Finite Precision Analysis for an FPGA-based NILM Event-Detector. NILM@SenSys (2020)
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)
Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic
Stop: Exploring Bayesian Surprise to Better Train NILM. NILM@SenSys (2020)
Benjamin Völker, Marc Pfeifer, Philipp M. Scholl, Bernd Becker
Annoticity: A Smart Annotation Tool and Data Browser for Electricity Datasets. NILM@SenSys (2020)
Jack Barber, Heriberto Cuayáhuitl, Mingjun Zhong, Wenpeng Luan
Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning. NILM@SenSys (2020)
Rithwik Kukunuri, Nipun Batra, Hongning Wang
An Open Problem: Energy Data Super-Resolution. NILM@SenSys (2020)
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)
João Gois, Christoph Klemenjak, Lucas Pereira
On the Relationship between Seasons of the Year and Disaggregation Performance. NILM@SenSys (2020)
Akhilesh Yadav, Anuj Sinha, Abdessamad Saidi, Christoph Trinkl, Wilfried Zörner
NILM based Energy Disaggregation Algorithm for Dairy Farms. NILM@SenSys (2020)
Simon Henriet, Benoit Fuentes, Umut Simsekli, Gaël Richard
Matrix Factorization for High Frequency Non Intrusive Load Monitoring: Definitions and Algorithms. NILM@SenSys (2020)
François Culière, Laetitia Leduc, Alexander Belikov
Bayesian model of electrical heating disaggregation. NILM@SenSys (2020)
Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
Phased: Phase-Aware Submodularity-Based Energy Disaggregation. NILM@SenSys (2020)
Darwish Darwazeh, Jean Duquette, Burak Gunay
Virtual metering of heat supplied by hydronic perimeter heaters in variable air volume zones. NILM@SenSys (2020)
Xinlei Chen, Omid Ardakanian
Solar Disaggregation: State of the Art and Open Challenges. NILM@SenSys (2020)
Abhinav Srivastava, Paras Tehria, Basant K. Pandey
Energy Disaggregation for Small and Medium Businesses and their Operational Characteristics. NILM@SenSys (2020)