Energy Data Engineering-1

Linear and multilinear regression.

Predicting the future dates

Problem statement: Analyse the data and predict the future dates for renewable energy sources.

Features:

Data Analysis:

• Comprehensive analysis of energy data to identify trends and patterns.

Linear Predictions:

• Renewable Energy: Predicted the date when the share of renewables will exceed 85%.
• Gas Plants: Predicted the date when the share of gas plants will drop below 10%.
• Coal Plants: Predicted the date when all coal plants will be phased out.

MLR Regression Model for Day-Ahead Price:

• Developed and evaluated multiple linear regression models to find the best fitting model for predicting the day-ahead energy price.

Conclusion

We found the future dates for renewable sources.