1 |
H.-S. Kim, H.-C. Kim, J.-W. Jwa, and M.-J. Kang, "Development of data acquisition system for smart farm non-intrusive load monitoring," j.inst.Korean.electr.electron.eng, vol.23, no.1, pp. 322-325, 2019. http://dx.doi.org/10.7471/ikeee.2019.23.1.322
|
2 |
J. Kelly and W. Knottenbelt, "Neural NILM: Deep neural networks applied to energy disaggregation," in Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, pp.55-64, 2015.
|
3 |
K. Odysseas, C. Nalmpantis, and D. Vrakas, "Sliding window approach for online energy disaggregation using artificial neural networks," in Proceedings of the 10th Hellenic Conference on Artificial Intelligence, ACM, pp.1-6, 2018. DOI: 10.1145/3200947.3201011
|
4 |
C. Zhang, M. Zhong, Z. Wang, N. Goddard, and C. Sutton, "Sequence-to-point learning with neural networks for nonintrusive load monitoring," in Proceedings of the Thirty-Second Conference on Artificial Intelligence, pp.2604-2611, 2018.
|
5 |
https://github.com/nilmtk/nilm_metadata
|
6 |
https://bitbucket.org/jejunu-soombi/jsedd/src/master/metadata/
|
7 |
https://bitbucket.org/jejunu-soombi/jsedd/src/master/data/jsedd.h5
|
8 |
https://github.com/OdysseasKr/neural-disaggregator
|
9 |
G. W. Hart. "Nonintrusive appliance load monitoring," in Proceedings of the IEEE, vol.80, no.12, pp.1870-1891, 1992. DOI: 10.1109/5.192069
DOI
|
10 |
N. Batra, J. Kelly, O. Parson, H. Dutta, W. Knottenbelt, A. Rogers, A. Singh, and M. Srivastava. "NILMTK: An open source toolkit for non-intrusive load monitoring," in Fifth International Conference on Future Energy Systems (ACM e-Energy), Cambridge, UK, 2014. DOI: 10.1145/2602044.2602051
|