If i have historical data of a variable Can i make a prediction model to predict the behavior of the var in future with python ?

Answer 1

Give us little more description about your question along with your attempt

Answer 2

Depending on the nature of the data you might use linear extrapolation, curve fitting, probability distributions, Fourier analysis, Taylor Series Approximation, ... etc. You'll get better advice if you can be more specific. If you're uncertain then Taylor Series Approximation is where I would start. Just be aware that in all these techniques the results can be unreliable - especially if the wrong method is applied.

Answer 3

Lester Chacon this field is mostly outside of my experience. I found a cubic curve formula for wind turbine output at:

Https://www.windpowerengineering.com/calculate-wind-power-output

Perhaps using a regression approach guided by their theoretical formula would give you a good model.

Answer 4

Thanks Brian , my historical data is generation readings from a wind turbine, and i want to predict what wil be the future generation of the turbine based on change in wind speed , i am testing now using linear regression, with scikit-learn in python3