Código QR (código de barras bidimensional)

A dataset of exogenous variables and historical electricity demand for short-term load forecasting of the national interconnected electric system (SENI) in the Dominican Republic from 2021 to 2024Kaggle

This dataset contains historical records of electricity demand in the Dominican Republic from January 2021 to December 2024, with hourly resolution. It was compiled to support short-term load forecasting of the National Interconnected Electric System (SENI). The dataset includes the total system dem...

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Principais autores: Rafael Orlando Uceta-Acosta, Deyslen Mariano-Hernandez, Yeulis Rivas-Peña, Víctor S. Ocaña-Guevara, Miguel Aybar-Mejía, Máximo A. Domínguez-Garabitos
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-12-01
coleção:Data in Brief
Assuntos:
Electricity demand forecasting
Short-term forecasting
Exogenous variables
Time series
Energy modelling
Machine learning
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2352340925007796
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