FIKElectricity: A Electricity Consumption Dataset from Three Restaurant Kitchens in Portugal

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 1/5 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.

Automated summary

Industrial kitchens are highly energy-intensive businesses, yet there has been little research on improving their energy efficiency. This paper presents the FIKElectricity dataset, which collects electricity data from three Portuguese restaurant kitchens during their daily operation. The public release of this dataset is expected to draw more attention from the research community to this overlooked industrial sector.