semantic_scholarTehnički Vjesnik2026-08-15
Research on Optimization Method of Renewable Energy Prediction Feature Model Based on Deep Learning Model
Jiongju Hao, Lulu Zhao, Li Jianzhuang, Hanzheng Sun
TL;DR: An Adaptive Binary Genetic Algorithm (A-BGA) is developed that introduces population-diversity-driven dynamic crossover and mutation rates, and reformulates the fitness as a bi-objective trade-off between prediction RMSE and feature cardinality to form a comprehensive framework that enhances prediction efficiency and uncertainty modeling.
: As the share of renewable energy in power systems continues to grow, improving prediction accuracy has become critical for enhancing system flexibility and reducing operational costs. In this paper, we propose two novel optimization methods tailored for renewable energy predict…