Mouad Bensalah, Abdellatif Hair, Reda Rabie, Hatim Derrouz
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High-resolution smart meter load dataset collected from multiple cities in Morocco.
Here in this data set, we are offering high-resolution electric consumption data collected via smart meters installed across multiple Moroccan cities with special focus on 22 kV distribution transformers. The smart meters employed in this study have the feature of storing electric parameters, and the data has been retrieved from residential and industrial regions in Laayoune, Boujdour, Marrakech, and Foum Eloued. The dataset, accumulated at a 10-minute (30-minute) frequency in Marrakech, constitutes the granular foundation for precise load forecasting models tailored to the idiosyncrasies of each region. Raw and processed versions of the dataset are both available, thereby making it a valuable for energy management, load forecasting, and smart grid optimization experts and researchers. The information can be used to study patterns of consumption, detect anomalies, and develop prediction models for the best power distribution and grid stability. Visual representations of trends in electricity consumption by geographic area and time period are also provided to facilitate ease of interpretation and further research use.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.