ENLITEN - A dataset and its associated analysis code for the paper entitled "Designing sensor sets for capturing energy events in buildings"

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instructions.pdf

ethics 9054 3 25623 document 9054 designing-sensor-set-data-and-analysis-code.zip application/zip a4ef67b6ad72e3cbbb5eba0f5747588c MD5 19433005 2018-06-21 16:02:16 https://researchdata.bath.ac.uk/241/2/designing-sensor-set-data-and-analysis-code.zip 241 2 2 application/zip other Raw data, analysis and visualisation code en public cc_by

designing-sensor-set-data-and-analysis-code.zip

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http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/9421 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/9421 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.bath.ac.uk/id/document/9421 archive 2666 disk0/00/00/02/41 2018-07-26 15:48:01 2024-07-15 10:58:06 2018-07-26 15:48:01 data_collection show Lee Jeehang J.Lee@bath.ac.uk 0000-0002-4337-2774 University of Bath TRUE Gabe-Thomas Elizabeth 0000-0003-3249-1011 University of Bath FALSE Lovett Tom T.R.Lovett@bath.ac.uk University of Bath FALSE Padget Julian J.A.Padget@bath.ac.uk 0000-0003-1314-2094 University of Bath FALSE Natarajan Sukumar S.Natarajan@bath.ac.uk 0000-0001-5831-1678 University of Bath FALSE Coley David D.A.Coley@bath.ac.uk 0000-0001-5744-1809 University of Bath FALSE ENLITEN - A dataset and its associated analysis code for the paper entitled "Designing sensor sets for capturing energy events in buildings" ED0070 FB0010 FE0060 dept_civ_eng dept_compsci Sensors, Energy events, Human behaviour on energy use, Minimal sensor set, Low cost sensor set, energy data analysis The zip file contains a set of top level data and source code files, a further files arranged into 5 directories. The 'analysis_datasets' directory contains the main dataset used for the paper. It also includes the machine learning algorithm code (random forest in this case), its associated data and a document showing a selected feature set. The 'gt', 'sd', and 'tf' directories contain raw data collected by one of participants. The 'set_viz' directory contains visualisation code as well as knapsack (cost–benefit) optimisation code for the selection of minimal sensor sets subject to the budget. This dataset contains data and software source code supporting the paper entitled 'Design sensor sets for capturing energy events in buildings'. It contains raw data from sets of domestic sensors measuring temperature, humidity, levels of sound, light and carbon dioxide, and power consumption. It also contains analysis code and visualisation code written for R and Python. 2016-10-01 University of Bath public RightsHolder University of Bath Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 EP/K002724/1 Energy Literacy through an Intelligent Home Energy Advisor ENLITEN Details of the methodology may be found in the associated manuscript. All data was collected approximately from Aug 2013 to Oct 2013. An instruction for the participants attached here (instruction.pdf) shows the way how the data was collected in the individual homes. The data files are in comma-separated (.csv) and tab-separated (.txt) plain text formats. The .py source code files target Python v2.x and use only standard libraries. The R source code files use the following libraries available from CRAN: entropy, ggplot2, plyr, randomForest, reshape2, scales. Some pre-compiled visualisations are included as PDF files. 2013-08-01 2013-10-01 en 1 10.15125/BATH-00241 https://doi.org/10.1016/j.buildenv.2016.09.004 pub open