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REDD: A Public Data Set for Energy Disaggregation Research

REDD: A Public data Set forEnergy Disaggregation ResearchJ. Zico KolterComputer Science and Artificial IntelligenceLaboratoryMassachusetts Institute of TechnologyCambridge, J. JohnsonLaboratory for Information and Decision SystemsMassachusetts Institute of TechnologyCambridge, and sustainability issues raise a large number ofproblems that can be tackled using approaches from datamining and machine learning, but traction of such problemshas been slow due to the lack of publicly available data . Inthis paper we present the Reference Energy DisaggregationData Set (REDD), a freely available data set containing de-tailed power usage information from several homes, which isaimed at furthering Research on Energy Disaggregation (thetask of determining the component appliance contributionsfrom an aggregated electricity signal). We discuss past ap-proaches to Disaggregation and how they have influenced ourdesign choices in collecting data , we describe the hardwareand software setups for the data collection, and we presentinitial benchmark Disaggregation results using a well-knownFactorial Hidden Markov Model (FHMM) INTRODUCTIONE nergy and sustainability problems represent one of thegreatest challenges facing society.

data is shown in Figure 1. As of the time of writing (June 15th, 2011), we have 10 homes monitored, with a total of 119 days of data (combined over all homes), 268 unique moni-tors, and more than 1 terabyte of raw data. To the best of our knowledge, REDD represents the largest publicly avail-able data set …

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