Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014
By S. Makonin, Bradley Ellert, I. Bajić, Fred Popowich. Scientific Data, 2016
297 citations recorded by the source corpus.
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. Design Type(s) observation design • time series design • data integration objective Measurement Type(s) electricity consumption • natural gas consumption • water consumption • weather record Technology Type(s) electricity meter • gas meter • water meter • weather station Factor Type(s) energy supply function Sample Characteristic(s) Province of British Columbia • building Design Type(s) observation design • time series design • data integration objective Measurement Type(s) electricity consumption • natural gas consumption • water consumption • weather record Technology Type(s) electricity meter • gas meter • water meter • weather station Factor Type(s) energy supply function Sample Characteristic(s) Province of British Columbia • building Machine-accessible metadata file describing the reported data (ISA-Tab format)
Subfields: Building and Construction, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/13d635d04e6d44f976ba713768789f8da14d5a6f
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In Electrical and Electronic Engineering
Citations in the corpus
- Two Is Not Enough: Privacy Assessment of Aggregation Schemes in Smart Metering (2017, background): “Some datasets, e.g., Dataport and UMASS, contain several hundreds of households, whereas others, e.g., AMPds, focus on a single household for a large period of time.”