Performance evaluation of techniques for identifying abnormal energy consumption in buildings

The IEEE Access Journal has published our paper on anomaly detection. Titled Performance evaluation of techniques for identifying abnormal energy consumption in buildings, with co-authors Megha Gaur, Ivan V. Bajic, and Angshul Majumdar. Here is the paper abstract: Energy consumption in buildings has steadily increased. Buildings consume more energy than necessary due to suboptimal design and … Continue reading Performance evaluation of techniques for identifying abnormal energy consumption in buildings

HUE Dataset Released!

Today I am pleased to announce the release of a new public dataset called the The Hourly Usage of Energy Dataset for Buildings in British Columbia (HUE). There is an accompanying paper published in Elsevier's Data in Brief journal that describes the dataset in detail. Here is a brief summary: Having access to long-term consumption data from multiple … Continue reading HUE Dataset Released!

WaveNILM: A Causal Neural Network for Power Disaggregation from the Complex Power Signal

Last week I found out that a conference paper I helped co-author with colleagues Alon Harell and Ivan V. Bajic was accepted for publication. Titled WaveNILM: A Causal Neural Network for Power Disaggregation from the Complex Power Signal, it will be presented at the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) on May 17, 2019 … Continue reading WaveNILM: A Causal Neural Network for Power Disaggregation from the Complex Power Signal

CarbonKit: Designing A Personal Carbon Tracking Platform

Last week I found out that a workshop paper I helped co-author with colleagues Laura Guzman and Alex Clapp was accepted for publication. Titled CarbonKit: Designing A Personal Carbon Tracking Platform, it will be published in the ACM DL and presented at the 4th International Workshop on Social Sensing on April 15, 2019 in Montreal, QC, Canada. Here is … Continue reading CarbonKit: Designing A Personal Carbon Tracking Platform

NILM @ ICASSP 2019

Here is a bit of news about NILM at ICASSP 2019: The 44th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 will be held in Brighton UK between May 12 and May 17. Angshul Majumdar (IIIT-Delhi) and I will be chairing a Special Session called Advanced Signal Processing for Non-intrusive Load Monitoring. Here are … Continue reading NILM @ ICASSP 2019

Residential Power Forecasting Using Load Identification and Graph Spectral Clustering

Last week I found out that a journal paper I helped co-author with colleagues Chinthaka Dinesh and Ivan V. Bajić was accepted for publication. Titled Residential Power Forecasting Using Load Identification and Graph Spectral Clustering it will be published in journal IEEE Transactions on Circuits and Systems II: Express Briefs. Here is the paper abstract: Forecasting energy or power usage … Continue reading Residential Power Forecasting Using Load Identification and Graph Spectral Clustering

NILM 2018 Program & Registration

The program is not posted for the NILM 2018 workshop. We have an exciting 2-day program that is a must for anyone in non-intrusive load monitoring (including researchers, students, and industry leaders). Now is the time to register for the workshop before Friday February 23rd: PecanStreet Workshop registration (taking place on March 6th) NILM Workshop … Continue reading NILM 2018 Program & Registration