LAPSE:2023.28687
Published Article
LAPSE:2023.28687
MORED: A Moroccan Buildings’ Electricity Consumption Dataset
Mohamed Aymane Ahajjam, Daniel Bonilla Licea, Chaimaa Essayeh, Mounir Ghogho, Abdellatif Kobbane
April 12, 2023
This paper consists of two parts: an overview of existing open datasets of electricity consumption and a description of the Moroccan Buildings’ Electricity Consumption Dataset, a first of its kind, coined as MORED. The new dataset comprises electricity consumption data of various Moroccan premises. Unlike existing datasets, MORED provides three main data components: whole premises (WP) electricity consumption, individual load (IL) ground-truth consumption, and fully labeled IL signatures, from affluent and disadvantaged neighborhoods. The WP consumption data were acquired at low rates (1/5 or 1/10 samples/s) from 12 households; the IL ground-truth data were acquired at similar rates from five households for extended durations; and IL signature data were acquired at high and low rates (50 k and 4 samples/s) from 37 different residential and industrial loads. In addition, the dataset encompasses non-intrusive load monitoring (NILM) metadata.
Keywords
electricity disaggregation, non-intrusive load monitoring, open dataset
Suggested Citation
Ahajjam MA, Bonilla Licea D, Essayeh C, Ghogho M, Kobbane A. MORED: A Moroccan Buildings’ Electricity Consumption Dataset. (2023). LAPSE:2023.28687
Author Affiliations
Ahajjam MA: TICLab, International University of Rabat, Rabat 11100, Morocco; ENSIAS, Mohammed V University in Rabat, Rabat 10000, Morocco [ORCID]
Bonilla Licea D: Faculty of Electrical Engineering, Czech Technical University, 166 36 Prague, Czech Republic
Essayeh C: TICLab, International University of Rabat, Rabat 11100, Morocco
Ghogho M: TICLab, International University of Rabat, Rabat 11100, Morocco; School of EEE, University of Leeds, Leeds LS2 9JT, UK
Kobbane A: ENSIAS, Mohammed V University in Rabat, Rabat 10000, Morocco
Journal Name
Energies
Volume
13
Issue
24
Article Number
E6737
Year
2020
Publication Date
2020-12-21
Published Version
ISSN
1996-1073
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PII: en13246737, Publication Type: Journal Article
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LAPSE:2023.28687
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doi:10.3390/en13246737
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Apr 12, 2023
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