I will be attending IEEE ISGT 2020 with two accepted papers. This influential conference with be held in Washington D.C. February 17-20, 2020. Here are details of the two papers: Increasing the Accuracy and Speed of Universal Non-Intrusive Load Monitoring (UNILM) Using a Novel Real-Time Steady-State Block Filter Autors: Richard Jones, Alejandro Rodriguez-Silva, Stephen Makonin Abstract: Non-intrusive … Continue reading Attending IEEE ISGT 2020 (2 Papers)
This last Wednesday, October 2 (2019), I was interviewed live on the Danielle Smith Show on news talk radio station 770 CHQR in Calgary, AB. The interview vastest about 20 minutes, where Danielle and I had a good discussion on a research paper I co-authored about carbon tracking (e.g., CarbonKit). You can listen to the … Continue reading News Talk Radio Interview on CarbonKit
Last week I found out that a conference paper I helped co-author with Christoph Klemenjak, Andreas Reinhardt, Lucas Pereira, Mario Bergés, and Wilfried Elmenreich was accepted for presentation and publication. Titled Electricity Consumption Data Sets: Pitfalls and Opportunities, it will be presented at the 6th ACM International Conference on Systems for Energy-Efficient Built Environments, Cities, and Transportation (BuildSys) held … Continue reading Datasets Pitfalls and Opportunities Paper
Last week I found out that a conference paper I helped co-author with my PhD student Alejandro Rodriguez-Silva was accepted for presentation and publication. Titled Universal Non-Intrusive Load Monitoring (UNILM) Using Filter Pipelines, Probabilistic Knapsack, and Labelled Partition Maps, it will be presented at the 11th IEEE PES Asia-Pacific Power and Energy Engineering Conference 2019 (APPEEC) held December 1-4, 2019 … Continue reading Universal Non-Intrusive Load Monitoring (UNILM) Paper
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
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!
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