Author:
Kyrkou Lamprini,Nalmpantis Christoforos,Vrakas Dimitris
Publisher
Springer International Publishing
Reference21 articles.
1. Aiad, M., Lee, P.H.: Non-intrusive load disaggregation with adaptive estimations of devices main power effects and two-way interactions. Energy Build. 130, 131–139 (2016).
https://doi.org/10.1016/j.enbuild.2016.08.050
.
http://www.sciencedirect.com/science/article/pii/S0378778816307472
2. Chen, K., Wang, Q., He, Z., Chen, K., Hu, J., He, J.: Convolutional sequence to sequence non-intrusive load monitoring. J. Eng. 2018(17), 1860–1864 (2018).
https://doi.org/10.1049/joe.2018.8352
3. Dai, W., Chen, Y., Xue, G.R., Yang, Q., Yu, Y.: Translated learning: transfer learning across different feature spaces. In: Advances in Neural Information Processing Systems, pp. 353–360 (2009)
4. De Baets, L., Develder, C., Dhaene, T., Deschrijver, D.: Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks. Int. J. Electr. Power Energy Syst. 104, 645–653 (2019)
5. Gao, J., Giri, S., Kara, E.C., Bergés, M.: PLAID: a public dataset of high-resoultion electrical appliance measurements for load identification research: demo abstract. In: Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, pp. 198–199. ACM (2014)
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献