High-Resolution Load Dataset from Smart Meters Across Various Cities in Morocco
Donated on 5/3/2025
The dataset includes detailed measurements of electricity consumption from several areas of Laâyoune, Boujdour, Marrakech and Foum Eloued. It presents both domestic and industrial consumption profiles with a frequency of recording every 10 minutes for Laâyoune Boujdour and Foum Eloued and every 30 minutes for Marrakech. The data are organized in several tables showing usage trends by city and area, which allows analysis of daily variations in demand, seasonal fluctuations and peak loads. An important element to The dataset includes detailed measurements of electricity consumption from several areas of Laâyoune, Boujdour, Marrakech and Foum Eloued. It presents both domestic and industrial consumption profiles with a frequency of recording every 10 minutes for Laâyoune Boujdour and Foum Eloued and every 30 minutes for Marrakech. All data is in amperes (A), except for Marrakech, which is in kilowatts (kW).
Dataset Characteristics
Time-Series
Subject Area
Other
Associated Tasks
Classification, Regression, Clustering, Other
Feature Type
Real
# Instances
5
# Features
5
Dataset Information
For what purpose was the dataset created?
The primary objective of this dataset is to support research and analysis in energy consumption patterns. By offering high-resolution data, it enables stakeholders to: -Examine daily and seasonal variations in electricity demand. -Identify peak load periods across different regions. -Develop and validate energy consumption models. -Inform infrastructure planning and energy policy decisions.
What do the instances in this dataset represent?
Each instance in the dataset represents a specific electricity consumption measurement recorded by smart meters. The data covers several areas, including Laâyoune, Boujdour, Marrakech, and Foum Eloued. Key characteristics include: Recording Frequency: -Every 10 minutes for Laâyoune, Boujdour, and Foum Eloued. -Every 30 minutes for Marrakech. Measurement Units: -Amperes for Laâyoune, Boujdour, and Foum Eloued. -Kilowatts for Marrakech. The dataset is organized into several tables that delineate usage trends by city and area, facilitating granular analyses of consumption behaviors.
Are there recommended data splits?
The dataset description does not specify recommended data splits for training, validation, or testing. Researchers are encouraged to define appropriate data partitioning strategies based on their specific analytical objectives and methodologies.
Has Missing Values?
No
Introductory Paper
By Mouad Bensalah, Abdellatif Hair. 2025
Published in Quarterly Journal of the Operational Research Society of India (OPSEARCH)
Dataset Files
| File | Size |
|---|---|
| Data Morocco.xlsx | 21.4 MB |
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There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset high_resolution_load_dataset_from_smart_meters_across_various_cities_in_morocco = fetch_ucirepo(id=1158) # data (as pandas dataframes) X = high_resolution_load_dataset_from_smart_meters_across_various_cities_in_morocco.data.features y = high_resolution_load_dataset_from_smart_meters_across_various_cities_in_morocco.data.targets # metadata print(high_resolution_load_dataset_from_smart_meters_across_various_cities_in_morocco.metadata) # variable information print(high_resolution_load_dataset_from_smart_meters_across_various_cities_in_morocco.variables)
Bensalah, M. & Hair, A. (2025). High-Resolution Load Dataset from Smart Meters Across Various Cities in Morocco [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5FC8R.
Keywords
Creators
Mouad Bensalah
e.mbensalah@gmail.com
FST Béni Mellal
Abdellatif Hair
FST Béni Mellal
DOI
Notes
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.