Author

Zike Guo

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Open access Jul 2026

Data-Driven Risk-Aware Approximate Dynamic Programming Algorithm for Resilient Power System Operation Under High Renewable Uncertainty

This paper presents a risk-aware stochastic approximate dynamic programming (SADP) algorithm based on machine learning and parallel computing architectures that provides grid operators with actionable strategies that balance economic efficiency and operational resilience.

Zike Guo, Peng Yang, Xue Du et al. · Processes · 0 citations