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Prediction of Wind Speed using Machine Learning
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 32 |
| Year of Publication: 2020 |
| Authors: Nabanita Mandal, Tanuja Sarode |
10.5120/ijca2020920370
|
Nabanita Mandal, Tanuja Sarode . Prediction of Wind Speed using Machine Learning. International Journal of Computer Applications. 176, 32 ( Jun 2020), 34-37. DOI=10.5120/ijca2020920370
Abstract
Climate is the average state of the atmosphere and related components of earth system. Latitude, distance from sea, presence or absence of mountains or other geographic information determines the climate of a place. Climate models are used to study the behavior, components and interactions of the climate systems. Climate data includes historical as well as real-time data. Machine Learning (ML) is the subset of Artificial Intelligence (AI) which has the ability to learn from the training data. This learning experience improves which helps in predicting future values. Mean Wind Speed (MWS) is one important characteristic which influences the climate. Prediction of mean wind speed using ML algorithms is described in this paper. It is useful for determining abnormal weather events and also the future potential for wind energy.
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