Skip to content

Forecasting Wind Speed using Statistical Time-Series Analysis

Notifications You must be signed in to change notification settings

Gateway2745/Wind-Speed-Forecasting

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

45 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Time-Series-Analysis

A complete statistical analysis of inter-state wind-speed data - Tamil Nadu, Andhra Pradesh, Madhya Pradesh and Rajasthan.

  • Extraction of Hourly, Daily and Weekly wind speed data.
  • Obtained descriptive statistical measures and visualizations of the wind speed data.
  • Augmented Dickey–Fuller test for stationarity.
  • Time Series Decomposition using multiplicative model.
  • Non-Parametric Kolgomorov-Smirnov Test to find best fit distribution to our wind speed data.
  • Time Series Forecasting using AR, MA, ARMA, ARIMA and SARIMA statistical models.
  • Application of Machine Learning for wind speed forecasting.
  • Stastical Quality Control to find states where the wind speeds are in-control.

About

Forecasting Wind Speed using Statistical Time-Series Analysis

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors 4

  •  
  •  
  •  
  •