Prediction System for Distribution Wind Speed Using Deep Learning Algorithms: A Review

Authors

  • Waleed Saleh Hameed Department of Computer Science, College of Science, University of Mustansria, Mustansria, Iraq
  • Karim Qasim Hussein Department of Computer Science, College of Science, University of Mustansria, Mustansria, Iraq

Keywords:

wind speed prediction, Wind power, Deep learning, Turbines

Abstract

The increase in energy 'consumption and the rapid exhaustion of fossil gas books with the 'increase in environmental contamination brought on by greenhouse gases 'encouraged researchers to concentrate on clean, pollution-free power sources. Wind energy has rapidly become a generation innovation of great 'importance in generating electrical power through 'mechanical control of wind' turbines in farms Wind, as well as since wind power is a clean and also ecologically pleasant energy resource and a renewable resource source, and also viola outcomes in the discharge of greenhouse gases during procedure, it is encouraged to incorporate it with electric' power systems. In enhancement to the truth that replacing heat' generation with wind generation brings about conserving fuel expenses, as the usage of typical fossil power such as' coal Gas and oil lead to air pollution that is unsafe to the atmosphere as well as creates international warming.

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Published

2022-06-21

How to Cite

Waleed Saleh Hameed, & Karim Qasim Hussein. (2022). Prediction System for Distribution Wind Speed Using Deep Learning Algorithms: A Review. iJournals:International Journal of Software & Hardware Research in Engineering ISSN:2347-4890, 10(6). Retrieved from https://ijournals.in/journal/index.php/ijshre/article/view/139