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Keyword: wind power forecasting ×Clear all

2 claims from 1 paper

1. Computer Science › Metaheuristic Optimization Algorithms Research

   Adaptive Differentiated Parrot Optimization: A Multi-Strategy Enhanced Algorithm for Global Optimization with Wind Power Forecasting Applications

   Lin, Abdel-Salam, Hu and Jia · Biomimetics · 2025

   The authors improve the Parrot Optimization Algorithm with three new mechanisms, test it on standard benchmarks, and apply it to LSTM-based wind power forecasting.

   Unchecked2 claims
   Show 2 claims

   1. UncheckedIn wind power forecasting with LSTM networks, ADPO beat competing algorithms on several metrics, reaching an average test R2 of 0.9726.“Specifically, ADPO outperformed competing algorithms across multiple evaluation metrics, achieving average R2 values of 0.9726 in testing phases with exceptional prediction stability.”
   2. UncheckedADPO achieved the best Friedman rankings in all the paper's comparisons, with values from 1.42 to 2.78, against older, current and recent algorithms.“Moreover, ADPO obtained superior Friedman rankings across all comparative evaluations, with values ranging from 1.42 to 2.78, demonstrating clear superiority over classical, contemporary, and recent algorithms.”