power-consumption
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (3.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: edmondium
- Language: Jupyter Notebook
- Default Branch: main
- Size: 32.6 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Power consumption
Predicting each appliance’s on/off status from gross power readings, using the UK Domestic Appliance-Level Electricity (UK-DALE, publicly available here) dataset. UK-DALE records both whole-house power consumption and usage from each individual appliance every 6 seconds from 5 households. We demonstrate our solution using the data from house #2, for which the dataset includes a total of 19 appliances’ power consumption. Given the granularity of the dataset (a sample rate of ⅙ Hz), it is difficult to estimate appliances with relatively tiny power usage. Based on a data exploration study, we selected eight appliances out of the original 19 items as our target appliances: a treadmill, washing machine, dishwasher, microwave, toaster, electric kettle, rice cooker and “cooker,” a.k.a., electric stovetop.
Owner
- Login: edmondium
- Kind: user
- Repositories: 35
- Profile: https://github.com/edmondium
Citation (CITATION.cff)
message: "If you use this software, please cite it as below."
authors:
- family-names: "Armay"
given-names: "Edmond Febrinicko"
orcid: "https://orcid.org/0000-0002-3822-1138"
title: "edmondium/power-consumption: 1.0.0"
version: 1.0.0
doi: 10.5281/zenodo.8076959
date-released: 2023-06-24