WINDMILL DATA ANALAYSIS

WEBSITE LINK

---

Home

Features

---

This is Website currently supporting following Features

• Wind speed and Wind Direction of Entered city
• Temprature of Entered city
• POWER RATING Prediction using Wind Speed Data

Tools and Languages used

---

• Front End
  • HTML
  • BOOTSTRAP
  • CSS
  • JAVASCRIPT
• Back End
• NodeJs
• Maching Learning
• Python
• Numpy
• Pandas
• scikit-learn

Data Set Used For Prediction

---

Wind Power Forecasting

Research Paper ,articles and Journal Refered

---

Time series forecasting using a hybrid ARIMA and neural network model

The Forecasting Procedure for Long-Term Wind Speed in the Zhangye Area