131 citations · 200 across the 8 of their papers we have counts for
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stat.AP2016★ 131 cited
Sequence-to-point learning with neural networks for nonintrusive load monitoring
Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang +2
Energy disaggregation (a.k.a nonintrusive load monitoring, NILM), a single-channel blind source separation problem, aims to decompose the mains which records the whole house electr…
stat.AP2014★ 18 cited
Interleaved Factorial Non-Homogeneous Hidden Markov Models for Energy Disaggregation
Mingjun Zhong, Nigel Goddard, Charles Sutton
To reduce energy demand in households it is useful to know which electrical appliances are in use at what times. Monitoring individual appliances is costly and intrusive, whereas d…