Comparison of Random Forest and SARIMA Methods Optimized with Genetic Algorithm for Wind Forecasting
Year: 2024
Type: conference-paper
Source: IEEE URUCON
Authors: Fabrício De A. Santos, Hellen Dianne Pereira De Souza, Nerval De J. S. Junior, Assiryah S. Gonçalves, Shigeaki Leite De Lima
Institution: Universidade Federal do Maranhão
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4407025805