Renewable Energy Market Forecast
We want to analyze the weather forecasts to make an estimate of the wind energy offers that the various operators make to the "next day market", in Italy.
Predict the offer strategies of the operators and plan an offer taking into account bonuses and penalties that the market regulation foresees according to the demand/supply ratio.
We use clustering techniques to reduce the dimensionality of the problem by capturing useful information from weather forecasts and train artificial intelligence models to model operator behavior based on "next day market" historical data.
Results and Benefits
The analysis techniques adopted enable the planning of an "intelligent" bidding strategy.