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...
Main Authors: | Pedro Junior Zucatelli, Erick Giovani Sperandio Nascimento, Alejandro Mauricio Gutiérrez Arce, Davidson Martins Moreira |
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Format: | Article |
Language: | English |
Published: |
International Institute of Informatics and Cybernetics
2021-02-01
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Series: | Journal of Systemics, Cybernetics and Informatics |
Subjects: | |
Online Access: | http://www.iiisci.org/Journal/PDV/sci/pdfs/IP128LL21.pdf
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