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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Xehetasun bibliografikoak

Egile Nagusiak:	Rafael Orlando Uceta-Acosta, Deyslen Mariano-Hernandez, Yeulis Rivas-Peña, Víctor S. Ocaña-Guevara, Miguel Aybar-Mejía, Máximo A. Domínguez-Garabitos
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2025-12-01
Saila:	Data in Brief
Gaiak:	Electricity demand forecasting Short-term forecasting Exogenous variables Time series Energy modelling Machine learning
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2352340925007796
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!