The company is energy and gas holding in Europe

Tasks

• Develop a predictive model on the wind energy production forecast
• Analyze historical data for accuracy
• Implement and test the model

Challenges

Accurately forecast wind energy production based on historical data.

Solutions

• Developed a predictive model for wind energy production
• Utilized historical data for training and testing the model
• Implemented machine learning techniques to enhance forecast accuracy

Outcomes

• Model Forecast – mean Absolute Percentage Error was <10

Technologies Used