Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Prediction of Wind speed and Wind direction using Machine learning algorithm
PaperId: :  16565
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-16565
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
V,S, Esther PushpamSri Ramakrishna Institute of Technology
M. KarnanSri Ramakrishna Institute of Technology
Madhumitha.RSri Ramakrishna Institute of Technology
Mohilesh.MSri Ramakrishna Institute of Technology

Abstract

Computer Engineering
Wind speed, Wind direction, Machine Learning
A group of wind turbines in the same location used to produce electricity . Turbines can work efficiently with optimum wind speed , heavy wind cause damage to the turbine, In this project , the wind speed and direction for wind farm can be predicted to the efficient work of wind turbines. So, the output of the wind turbines will be having greater efficiency. Big data and Machine learning is outlined because the massive assortment of datasets that is advanced to method. Predicting wind speed and direction is one of the most important and critic tasks in a wind farm. Machine learning techniques are often used to predict the time series non-linear wind evolution. In this context, this project proposes a short term wind data prediction model based on Least Square Support Vector Machines (LSSVM) and Random forest algorithm in their regression mode, which have the advantage of being simple, fast and well adapted for the short term. This project also tries to prove how wind direction may influence power generation, and why it is important to predict it. A real time series data set contains the historical values of parameters like wind speed, wind direction which are used to predict the wind speed and direction . The predicted model will be evaluated with Mean Absolute , Mean Square Error value and both models will be compared for their performance.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE V,S, Esther Pushpam, M. Karnan, Madhumitha.R, and Mohilesh.M. "Prediction of Wind speed and Wind direction using Machine learning algorithm" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 410-416
MLA V,S, Esther Pushpam, M. Karnan, Madhumitha.R, and Mohilesh.M. "Prediction of Wind speed and Wind direction using Machine learning algorithm." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 410-416.
APA V,S, Esther Pushpam, M. Karnan, Madhumitha.R, & Mohilesh.M. (2022). Prediction of Wind speed and Wind direction using Machine learning algorithm. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 410-416.
Chicago V,S, Esther Pushpam, M. Karnan, Madhumitha.R, and Mohilesh.M. "Prediction of Wind speed and Wind direction using Machine learning algorithm." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 410-416.
Oxford V,S, Esther Pushpam, M. Karnan, Madhumitha.R, and Mohilesh.M. 'Prediction of Wind speed and Wind direction using Machine learning algorithm', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 410-416. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Prediction_of_Wind_speed_and_Wind_direction_using_Machine_learning_algorithm_ijariie16565.pdf (Accessed : ).
Harvard V,S, Esther Pushpam, M. Karnan, Madhumitha.R, and Mohilesh.M. (2022) 'Prediction of Wind speed and Wind direction using Machine learning algorithm', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 410-416IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Prediction_of_Wind_speed_and_Wind_direction_using_Machine_learning_algorithm_ijariie16565.pdf (Accessed : )
IEEE V,S, Esther Pushpam, M. Karnan, Madhumitha.R, and Mohilesh.M, "Prediction of Wind speed and Wind direction using Machine learning algorithm," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 410-416, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Prediction_of_Wind_speed_and_Wind_direction_using_Machine_learning_algorithm_ijariie16565.pdf [Accessed : ].
Turabian V,S, Esther Pushpam, M. Karnan, Madhumitha.R, and Mohilesh.M. "Prediction of Wind speed and Wind direction using Machine learning algorithm." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver V,S, Esther Pushpam, M. Karnan, Madhumitha.R, and Mohilesh.M. Prediction of Wind speed and Wind direction using Machine learning algorithm. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 410-416. Available from: https://ijariie.com/AdminUploadPdf/Prediction_of_Wind_speed_and_Wind_direction_using_Machine_learning_algorithm_ijariie16565.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Development of Wireless Sensor Network Protocol using Fuzzy logic and Optimization Routing AlgorithmComputer ScienceMs.Dimpal Patel Download
GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental MonitoringComputer Science and EngineeringSowmya Shetty Download
SURVEY ON DETECTION OF PHISHING WEBSITE USING MACHINE LEARNINGComputer Science and EngineeringYawalkar Prasad Pramod Download
Enhancement of Health Data Accuracy Using Neural Network Algorithmneaural networkGautam Prakash Download
AI-BASED PLACEMENT PARTNER: ENHANCING CAREER PREPARATION THROUGH ADVANCED LEARNING TECHNOLOGIESComputer Science & EngineeringSaranya MK Download
ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEWComputer EngineeringPaleti Surekha Download
A Comparative Study of Maze-Solving Algorithms: Performance, Complexity, and Practical Applications in AI and RoboticsComputer EngineeringNakka Sai Magh Reddy Download
Encryption and Decryption WebsiteComputer Science and EngineeringGokul Kumar R Download
Digital BiomarkersComputer EngineeringHemakanth Sharma R Download
ENSURING FAIRNESS AND TRANSPARENCY IN AI SYSTEMS FOR HEALTHCARE AND CRIMINAL JUSTICE APPLICATIONSComputer EngineeringManu Gowda Download
Utilising AI for Deepfake Detection: Strategies, Issues and Future OpportunitiesArtificial intelligence Suhas LK Download
Cryptography-An OverviewComputer EngineeringPeram Bairaveswar Reddy Download
The Internet of Things (IoT) in Smart CitiesComputer engineeringRahul Malagitti Download
Cloud Computing - An OverviewComputer EngineeringHarshith Y Download
Operations of Artifical Intelligence in 5g NetworkingComputer Engineering Chethan K Download
12