Short-Term Reactive Power Forecasting Based on Real Power Demand Using Holt-Winters’ Model Ensemble by Global Flower Pollination Algorithm for Microgrid

Algorithm 2

Reactive power prediction: Holt-Winters’ exponential model.

Require: Define map evaluation,

Ensure: Monthly reactive power sample data

 Value: Predict distinct boundary error

 if Data no trend no season then

  Apply exponential smoothing

 else

  if data no season then

   apply Holt-Winters’ model

   Predict reactive power for each month

   add(error valuation, measure)

  end if

 end if