Electricity demand forecast model based on meteorological and historical demand data using artificial neural networks

Accurate forecasting of electricity demand is crucial for improving transmission system operation through optimized use of resources, operation planning, and minimized outages. The dynamic of electricity demand depends on exogenous factors (e.g., meteorological conditions), but the relationships bet...

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Detalles Bibliográficos
Autores principales:	Uhrig, Mariela N., Vignolo, Leandro D., Müller, Omar V.
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2024
Materias:	Ciencias Informáticas electricity demand forecast weather conditions deep learning artificial neural network
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/177174
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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