High-Resolution Load Dataset from Smart Meters Across Various Cities in Morocco
About
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).
Subject Area
Other
Instances
5
Features
5
Data Types
–
Tasks
Classification, Regression, Clustering
Feature Types
Continuous
Features
–
Introductory Paper
Machine learning-driven load forecasting for urban energy optimization in morocco
Mouad Bensalah, Abdellatif Hair. 2025.
Quarterly Journal of the Operational Research Society of India (OPSEARCH)