An Overview of Short-Term Load Forecasting for Electricity Systems Operational Planning: Machine Learning Methods and the Brazilian Experience

An Overview of Short-Term Load Forecasting for Electricity Systems Operational Planning: Machine Learning Methods and the Brazilian Experience

The advent of smart grid technologies has facilitated the integration of new and intermittent renewable forms of electricity generation in power systems. Advancements are driving transformations in the context of energy planning and operations in many countries around the world, particularly impacti...

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Bibliographic Details
Main Authors: Giancarlo Aquila, Lucas Barros Scianni Morais, Victor Augusto Durães de Faria, José Wanderley Marangon Lima, Luana Medeiros Marangon Lima, Anderson Rodrigo de Queiroz
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Energies
Subjects:
short-term load forecasting
day-ahead operational planning
time series forecasting
machine learning methods
electricity power systems
Online Access:https://www.mdpi.com/1996-1073/16/21/7444

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