Electricity Consumption Databases and Contribution of a New Equatorial Dataset from Ecuador for Load Forecasting Applications

Accurate electricity consumption forecasting is essential for the efficient planning and operation of modern power systems. The development of predictive models based on machine learning and deep learning strongly depends on the availability of well-documented and publicly accessible electricity con...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Erik Fernando Mendez-Garces, David Buldain, María Paz Comech
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2026-07-01
Sarja:	Energies
Aiheet:	load forecasting deep learning electrical distribution systems time series forecasting energy data smart grids
Linkit:	https://www.mdpi.com/1996-1073/19/13/3198
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