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.
Highlights
Public datasets are published to help advance research fields by overstepping the laborious tasks of data acquisition and data management, and providing researchers with valuable data
In the case of a Continuously variable devices (CVD), longer durations of acquisitions are helpful to capturing realistic images of its usual consumption, yet some loads might have some characteristics that can make acquisitions hard to conduct for long periods; these are mainly devices having automatic or variable operation times that depend on their initial physical states, or equipment for industrial applications which experience high noise emissions or is difficult to operate
In the first part of this article, we presented a summary of the open electricity consumption datasets, in order to provide an exhaustive overview of the current state of the art
Summary
Public datasets are published to help advance research fields by overstepping the laborious tasks of data acquisition and data management, and providing researchers with valuable data. Such datasets provide different consumption data: whole premises (WP). IC consumption data can describe the consumption of a combination of loads or those of individual loads, in which case IC measurements become similar to IL measurements Such datasets reflect the energy consumption in residential or commercial premises; they have proven to be useful in energy management applications, including load disaggregation and forecasting, energy efficiency, photovoltaic systems sizing, etc. Their public release has highlighted several issues regarding the collection and utilization of the datasets [14].
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