Background video by Guryanov Andrey / shutterstock

Outline

1. What is Energy Disaggregation?
2. My PhD work
3. Plans for a NILM competition

What is Energy Disaggregation?

Aggregate Energy Bill

Itemised Energy Bill

My PhD Work

• First to apply deep neural nets to energy disaggregation
• A lead developer on open source disaggregation tool NILMTK
• Disaggregated energy dataset: UK-DALE
• NILM Metadata:
  • Used by > 9 datasets
• Systematic review: Does disaggregated electricity feedback reduce domestic electricity consumption?

Recurrent Neural Nets

Example Output from Deep Neural Net

Plans for a NILM algorithm competition

Why we need a NILM competition

• Currently impossible to compare NILM algorithms
  • Different datasets, metrics, pre-processing, appliances etc.
  • Hence no way to measure progress or select best algos
• Competitions work for other machine learning fields

Work plan

Questions?

Deep Neural Nets

ImageNet Large Scale Visual Recognition Challenge (ILSVRC)

From: Krizhevsky, Sutskever & Hinton. ImageNet Classification with Deep Convolutional Neural Networks. NIPS (2012)

Image from devblogs.nvidia.com

Krizhevsky et al.'s DNN Results on ImageNet 2012

Krizhevsky, Sutskever & Hinton. ImageNet Classification with Deep Convolutional Neural Networks. NIPS (2012)

Denoising Autoencoders

Bounding Rectangle

Example Output from Deep Neural Net