Modeling climate change impact on wind power resources using adaptive neuro-fuzzy inference system

Modeling climate change impact on wind power resources using adaptive neuro-fuzzy inference system

Climate change impacts and adaptations are ongoing issues that are attracting the attention of many researchers. Insight into the wind power potential in an area and its probable variation due to climate change impacts can provide useful information for energy policymakers and strategists for sustai...

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Bibliographic Details
Main Authors: Narjes Nabipour, Amir Mosavi, Eva Hajnal, Laszlo Nadai, Shahaboddin Shamshirband, Kwok-Wing Chau
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
wind turbine
adaptive neuro-fuzzy inference system (anfis)
dynamical downscaling
regional climate change model
renewable energy
machine learning
Online Access:http://dx.doi.org/10.1080/19942060.2020.1722241

Internet

http://dx.doi.org/10.1080/19942060.2020.1722241

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