Residential homes contribute about 34% to the total power consumption in the USA and their consumption is projected to increase to 39% by 2030 (ref. As the cost of power rises, we must find technological solutions that help reduce and optimize energy use 2, 3. Additionally, there is a growing consensus that environmental and economical sustainability are inextricably linked 1. AMPds2 data has been pre-cleaned to provide for consistent and comparable accuracy results amongst different researchers and machine learning algorithms.Ĭurrently, much of the world is focused on reducing electricity consumption our increase in consumption is neither economically nor environmentally sustainable. We also include environmental and utility billing data for cost analysis.

Each meter has 730 days of captured data. No other such datasets from Canada exist. 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.

In the vast majority of cases, real-world datasets lead to more accurate models and algorithms. 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. With the cost of consuming resources increasing (both economically and ecologically), homeowners need to find ways to curb consumption.

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