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

<div>Flower pollination optimization with initial pollen level 2.33: (a) fitness vs. pollen generation, (b) current best individual, (c) average distance between individual, (d) fitness scaling, (e) fitness of individual, and (f) selection function for children/pollen.</div>

International Journal of Energy Research

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Figure 13

Figure 13: Short-Term Reactive Power Forecasting Based on Real Power Demand Using Holt-Winters’ Model Ensemble by Global Flower Pollination Algorithm for Microgrid 

Figure 13 | Short-Term Reactive Power Forecasting Based on Real Power Demand Using Holt-Winters’ Model Ensemble by Global Flower Pollination Algorithm for Microgrid 