Today my latest journal paper was published in Nature’s Scientific Data. Titled Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 it discusses the release of AMPds v2. Thanks to my co-authors Bradley Ellert, Ivan V. Bajic, and Fred Popowich for all their contributions and feedback. Here is the paper abstract:
With the cost of consuming resources increasing (both economically and ecologically), homeowners need to find ways to curb consumption. The Almanac of Minutely Power dataset Version 2 (AMPds2) has been released to help computational sustainability researchers, power and energy engineers, building scientists and technologists, utility companies, and eco-feedback researchers test their models, systems, algorithms, or prototypes on real house data. In the vast majority of cases, real-world datasets lead to more accurate models and algorithms. AMPds2 is the first dataset to capture all three main types of consumption (electricity, water, and natural gas) over a long period of time (2 years) and provide 11 measurement characteristics for electricity. No other such datasets from Canada exist. Each meter has 730 days of captured data. We also include environmental and utility billing data for cost analysis. AMPds2 data has been pre-cleaned to provide for consistent and comparable accuracy results amongst different researchers and machine learning algorithms.
Keywords: dataset, energy modelling, energy, NILM, disaggregation, household consumption