An Interdisciplinary Machine Learning Approach for Wind Speed Forecasting

An Interdisciplinary Machine Learning Approach for Wind Speed Forecasting

Multidisciplinary researchers have collaborated with industry to develop advanced high-fidelity simulation and optimization tools for wind power plants and turbine interactions with the atmosphere. These tools are capable of modeling the processes needed to predict plant interactions and provide sta...

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Bibliographic Details
Main Authors: Pedro Junior Zucatelli, Erick Giovani Sperandio Nascimento, Alejandro Mauricio Gutiérrez Arce, Davidson Martins Moreira
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2021-02-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
atmospheric science
interdisciplinary communication
machine learning
wind speed forecasting
system sciences and engineering
Online Access:http://www.iiisci.org/Journal/PDV/sci/pdfs/IP128LL21.pdf

Internet

http://www.iiisci.org/Journal/PDV/sci/pdfs/IP128LL21.pdf

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