Mario Bergés, David Irwin, and I are excited to announce that the 5th International Workshop on Non-Intrusive Load Monitoring (NILM 2020) will be held at ACM BuildSys 2020. Due to the COVID-19 pandemic, the event will be completely virtual and take place on November 17th (the date may change depending on final decision from BuildSys … Continue reading Next NILM Workshop at BuildSys 2020 (CFP)
Today the open access journal IEEE Access published our paper titled Residential Power Forecasting Based on Affinity Aggregation Spectral Clustering. It was co-authored with colleagues Chinthaka Dinesh and Ivan V. Bajić. Here is the paper abstract: Power utility companies rely on forecasting to anticipate future consumption needs, plan power production, and schedule the selling/purchasing of power. We present a novel … Continue reading Residential Power Forecasting Based on Affinity Aggregation Spectral Clustering
Today I am pleased to announce that two more houses have been added to the Hourly Usage of Energy Dataset for Buildings in British Columbia (HUE). Read the paper in Elsevier's Data in Brief journal: doi.org/10.1016/j.dib.2019.103744 HUE can be freely downloaded from Harvard Dataverse: doi:10.7910/DVN/N3HGRN. Are you a BCHydro customer? Donate your hourly data for research.
During the month of December of 2019 George Hart contacted me to see if I wanted to scan and OCR his original September 1984 NILM report to EPRI titled: PROGRESS REPORT: Nonintrusive Appliance Load Data Acquisition Method I, of course, said, "Yes." After fixing some OCR issues, returning from travel, and getting over the flu (twice), … Continue reading Read Hart’s Original 1984 NILM Report
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 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 houses help … Continue reading HUE Dataset Released!