Research on Household Appliances Recognition Method Based on Data Screening of Deep Learning

Author:

Zhibin Yu,Hong Chen

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference5 articles.

1. Appliance classification using V-I trajectories and convolutional neural networks;Baets;Energy and Buildings,2018

2. Gu, J., Wang, Z., Kuen, J., et al (2015). Recent advances in convolutional neural networks. Computer Science.

3. Hart, G.W. (1992). Non-intrusive appliance load monitoring. Proceedings of IEEE, 80(12): 1870-1891.

4. Iksan, N., Sembiring, J., Haryanto, N., et al (2015). Appliances identification method of non-intrusive load monitoring based on load signature of V-I trajectory. 2015 International Conference on Information Technology Systems & Innovation, Bandung, Bali.

5. Ting, K.H., Lucente, M., Fung, G.S.K., et al (2005). A taxonomy of load signatures for single-phase electric appliances. IEEE Power Electronics Specialist Conference, Brazil, 12-18.

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