Spatiotemporal Wind Energy Forecasting: A Comprehensive Survey and a Deep Equilibrium-Based Case Study With StemGNN

Spatiotemporal Wind Energy Forecasting: A Comprehensive Survey and a Deep Equilibrium-Based Case Study With StemGNN

Accurate spatiotemporal wind energy forecasting is essential for ensuring grid stability and maximizing the efficiency of renewable energy systems. This paper addresses the challenge of modeling the complex spatial and temporal dependencies inherent in wind power generation by presenting a comprehen...

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Bibliographic Details
Main Authors: Luiza Scapinello Aquino, Laio Oriel Seman, Viviana Cocco Mariani, Leandro Dos Santos Coelho, Stefano Frizzo Stefenon, Gabriel Villarrubia Gonzalez
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Wind energy
graph neural network
deep equilibrium
spatiotemporal forecasting
Online Access:https://ieeexplore.ieee.org/document/11095688/
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