- Team Name ---> eCode
- Team Leader ---> SUJOY NANDI
- Team Size ---> 1 Member
Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the wind conditions present at its site. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproduction.
Develop a time series model to Predict the power output of wind farm based on the weather condition in the site (1Hr prediction to 72Hrs. prediction) Build an application to recommend the Power Grid to suggest the best time to utilize the energy from wind farm.
To solve this problem I have made a Web Application. So I have developed a Machine Learning Model which can be used to predict OUTPUT POWER of ‘the wind power-plant’ depending on whether conditions for a specific future day.
It is very easy to use. You just have to few details :
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Set the Time Range for Prediction
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Redius of Turbine Rotor
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Efficiency of Turbine
Done !!!
Then, Our model will suggest you the best time in next 72 hours ( or in the selected time ) to utilize the energy from wind farm. So that the turbine returns maximum OUTPUT POWER .
Here this ML Model is built based on a feature called 'Theoretical Power'. So to calculate Theoretical power we must know Rotor Redius and Efficiency of a turbine. Moreover one Power Grid have many Turbines and each turbine has different Redius and Efficiency, Therefore their 'Theoretical Power' will be different from each other.
Wind Turbine Power Prediction
NOTE :
1. This App is deployed on IBM Cloud.
2. Responsive Design: The design of site is responsive i.e it can be viewd on any device without facing any trouble.
https://wind-turbine-power-prediction.eu-gb.mybluemix.net/
Please , Visit the app to know how it works .
*NOTE : This model is trained on Wind Turbine Scada Dataset on 2018 of a Wind Turbine in Turkey.
Here is some technologies and services that are used to develop this Web App.
Preview App Video Link:
https://youtu.be/TBxMkly3EWQ
Dataset Source :
https://www.kaggle.com/berkerisen/wind-turbine-scada-dataset
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