4 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.SP2020★ 4 cited
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks
Alon Harell, Richard Jones, Stephen Makonin +1
Non-intrusive load monitoring (NILM) allows users and energy providers to gain insight into home appliance electricity consumption using only the building's smart meter. Most curre…
cs.CV2020★ 1 cited
Towards Automated Swimming Analytics Using Deep Neural Networks
Timothy Woinoski, Alon Harell, Ivan V. Bajic
Methods for creating a system to automate the collection of swimming analytics on a pool-wide scale are considered in this paper. There has not been much work on swimmer tracking o…
eess.SP2019★ 1 cited
Wavenilm: A causal neural network for power disaggregation from the complex power signal
Alon Harell, Stephen Makonin, Ivan V. Bajić
Non-intrusive load monitoring (NILM) helps meet energy conservation goals by estimating individual appliance power usage from a single aggregate measurement. Deep neural networks h…