2019/03/05 by Arnaud Cadas, Ana Bušić, Cadas, Arnaud +2
Computer Science · Mathematics · #Algorithms and Data Compression #Applications (stat.AP) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Time Series Analysis and Forecasting #stat.AP
paper · pdf · doi:10.48550/arxiv.1903.01803
arxiv created 2019/03/05 · openalex publication_date 2019/03/05 · arxiv updated 2019/03/06 · openalex created_date 2019/03/11 · openalex updated_date 2026/07/28
We were interested in solving a power disaggregation problem which comes down to estimating the power consumption of each device given the total power consumption of the whole house. We started by looking at the Factorial Hierarchical Dirichlet Process - Hidden Semi-Markov Model. However, the inference method had a complexity which scales withthe number of observations. Thus, we developed an online algorithm based on particle filters. We applied the method to data from Pecan Street https://dataport.cloud/ using Python. We applied the disaggregation algorithm to the control techniques used in Demand Dispatch.