Publications (4)
Latent Bayesian melding for integrating individual and population models
Mingjun Zhong, Nigel Goddard, Charles Sutton
In many statistical problems, a more coarse-grained model may be suitable for population-level behaviour, whereas a more detailed model is appropriate for accurate modelling of ind…
Non-Intrusive Load Monitoring with Fully Convolutional Networks
Cillian Brewitt, Nigel Goddard
Non-intrusive load monitoring or energy disaggregation involves estimating the power consumption of individual appliances from measurements of the total power consumption of a home…
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…
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…