Adaptive differentiated parrot optimization improves search efficiency and accuracy in wind power applications, suggesting potential in renewable energy.
Key Points
ADPO significantly improves convergence speed and search efficiency for optimization challenges, achieving remarkable results.
The algorithm's enhancements included mechanisms like mean differential variation and dimension learning, effectively preventing early convergence.
The performance of ADPO was validated using benchmark functions and outperformed 12 advanced algorithms in various metrics, indicating its robustness.
Integration of ADPO with LSTM networks for wind power forecasting showed exceptional prediction accuracy, with average R2 values of 0.9726.