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Customizable scenario generation for clean energy bases
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DOI：10.1016/j.ijepes.2025.111261.png)
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Abstract
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• Achieves high-quality customizable scenario generation with multi-objective trade-offs. • A novel approach combining Halton quasirandom point set with fast-converging optimization. • A Robust Similarity Framework with high distributional similarity and reliable estimation.
Keywords:
Customizable scenario generation
Res-LSGAN-attention model
Fast convergence multi-objective equilibrium optimizer
Clean energy bases
Mixed-integer nonlinear five-objective programming
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