ArticleScientific data2023
FIKElectricity: A Electricity Consumption Dataset from Three Restaurant Kitchens in Portugal.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A Large-Scale Residential Load Dataset in a Southern Province of China.Scientific data · 2025Article
- FIKElectricity: A Electricity Consumption Dataset from Three Restaurant Kitchens in Portugal.Scientific data · 2023Article
- Smart Technologies for Water Resource Management: An Overview.Sensors (Basel, Switzerland) · 2022Review
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Authors and funding
6 authors.
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Abstract
Industrial Kitchens are very energy-intensive businesses, consuming between five and seven times more energy per square meter than other commercial spaces like office spaces and retail stores. Still, very little research has been carried out on improving the energy efficiency of this industry. This paper presents the FIKElectricity dataset, a collection of electricity data from three Portuguese restaurant kitchens during their daily operation. The duration of the datasets spans three to four weeks in each industrial kitchen and comprises aggregated and individual appliance consumption, collected at 1 Hz and [Formula: see text] Hz, respectively. The public release of FIKElectricity is expected to draw more attention from the research community to this overlooked industrial sector. The data collection and post-processing methods are thoroughly described in this paper, as well as the dataset organization. Examples showing the dataset's quality and instructions for its reuse are also provided.
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Registered trials
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