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AI-Driven Load and Net-Load Forecasting in Renewable-Rich and Electric-Vehicle-Intensive Power Systems: An Evidence-Mapping Review

Load forecasting is no longer only a point-prediction problem for aggregate demand. In renewable-rich and electric-vehicle-intensive power systems, forecasts must support net-load balancing, charging-demand management, uncertainty-aware operation, and spatially coupled decision-making. This review p...

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Principais autores: Manuel Jaramillo, Diego Carrión
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-05-01
Serier:Energies
Fag:
load forecasting
net-load forecasting
graph neural networks
transformers
electric-vehicle charging
probabilistic forecasting
Online adgang:https://www.mdpi.com/1996-1073/19/11/2571
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