Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

23 July 2015

William Knottenbelt

Papers citing "Neural NILM: Deep Neural Networks Applied to Energy Disaggregation"

7 / 7 papers shown

Title
Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring Junyu Xue Xudong Wang Xiaoling He Shicheng Liu Yi Wang Guoming Tang 82 0 0 09 May 2025
COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring I. Kamyshev Dmitrii Kriukov E. Gryazina Elena Gryazina Henni Ouerdane 43 8 0 04 Jun 2021
Sequence-to-point learning with neural networks for nonintrusive load monitoring Chaoyun Zhang Mingjun Zhong Zong-Hui Wang Nigel H. Goddard Charles Sutton 54 501 0 29 Dec 2016
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results J. Chorowski Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio 92 470 0 04 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 434 20,553 0 10 Sep 2014
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 149 4,033 0 04 Aug 2013
Theano: new features and speed improvements Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio 85 1,419 0 23 Nov 2012