A Hybrid Neural Network Based on Bayesian Optimization for Non-Intrusive Load Disaggregation

Author:

Bie Yuechao1,Tan Mao2,Pan Rui3,Liao Chengchen3,Xiao Jun3,Li Zibin3

Affiliation:

1. Xiangtan University,School of Computer Science,Xiangtan,China

2. Xiangtan University,Hunan National Center for Applied Mathematics,Xiangtan,China

3. Xiangtan University,School of Automation and Electronic Information,Xiangtan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference20 articles.

1. Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks

2. Sequenceto-point learning with neural networks for non-intrusive load monitoring;zhang;Proceedings of the AAAI Conference on Artificial Intelligence,2018

3. Survey on bayesian optimization methodology and applications;cui;Journal of Software,2018

4. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;bai;arXiv preprint arXiv 1803 01271,2018

5. The uk-dale dataset, domestic appliancelevel electricity demand and whole-house demand from five uk homes;kelly;Scientific Data,2015

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