Datasets Pitfalls and Opportunities Paper

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

Universal Non-Intrusive Load Monitoring (UNILM) 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

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

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