MORED: A Moroccan Buildings’ Electricity Consumption Dataset

Mohamed Aymane Ahajjam, Daniel Bonilla Licea, Chaimaa Essayeh, Mounir Ghogho and Abdellatif Kobbane
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Mohamed Aymane Ahajjam: TICLab, International University of Rabat, Rabat 11100, Morocco
Daniel Bonilla Licea: Faculty of Electrical Engineering, Czech Technical University, 166 36 Prague, Czech Republic
Chaimaa Essayeh: TICLab, International University of Rabat, Rabat 11100, Morocco
Mounir Ghogho: TICLab, International University of Rabat, Rabat 11100, Morocco
Abdellatif Kobbane: ENSIAS, Mohammed V University in Rabat, Rabat 10000, Morocco

Energies, 2020, vol. 13, issue 24, 1-22

Abstract: 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: non-intrusive load monitoring; open dataset; electricity disaggregation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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