Optimisation of the bidding strategy for wind power trading

The optimal bidding strategy for trading electricity from a wind farm is not always clear. This paper outlines a method for predicting whether the market will be long or short and uses this information to select the best quantile regression for the current market conditions. Results from a simulation with a 2.5MW turbine produced a savings of over £1000 over a three month period compared to using only a P50 forecaster.