Residential Power Forecasting Based on Affinity Aggregation Spectral Clustering

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

Attending IEEE ISGT 2020 (2 Papers)

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)

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

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

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 Paper Submissions Due Jan 7

Dear NILM researchers: This is just a friendly reminder that the deadline for submitting papers to the 2018 International NILM Workshop is this coming Sunday, January 7th, at 5pm Eastern Time (ET). Papers can be submitted via the following site: https://cmt3.research.microsoft.com/NILM2018 As a reminder, your 4-page papers should be formatted according to the IEEE Style … Continue reading NILM 2018 Paper Submissions Due Jan 7

Incorporating Time-Of-Day Usage Patterns Into Non-Intrusive Load Monitoring

This month I found out that a conference paper I helped co-author with colleagues Chinthaka Dinesh and Ivan V. Bajić was accepted for presentation. Titled Time-Of-Day Usage Patterns Into Non-Intrusive Load Monitoring, it will be presented at the 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP) this November in Montreal, Canada. Here is the paper abstract: Understanding appliance power … Continue reading Incorporating Time-Of-Day Usage Patterns Into Non-Intrusive Load Monitoring