@article {Ahajjam2020,
	title = {Mored: A moroccan buildings{\textquoteright} electricity consumption dataset},
	journal = {Energies},
	volume = {13},
	number = {24},
	year = {2020},
	note = {cited By 6},
	abstract = {This paper consists of two parts: An overview of existing open datasets of electricity consumption and a description of the Moroccan Buildings{\textquoteright} 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. {\textcopyright} 2020 by the authors.},
	keywords = {Data components, Electric load management, Electric power utilization, Electricity-consumption, Ground truth, Ground truth data, Industrial loads, Low rates, Nonintrusive load monitoring, Signature data},
	doi = {10.3390/en13246737},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106664615\&doi=10.3390\%2fen13246737\&partnerID=40\&md5=2d7b881b6d24a1d21b672b26fa9ee62f},
	author = {Ahajjam, M.A. and Licea, D.B. and Essayeh, C. and Ghogho, M. and Kobbane, A.}
}
