Author

Ying-Jun Ruan

2 papers indexed here

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Aug 2026

Bi-level Bayesian and reinforcement learning optimization for integrated energy system design and operation

A bi-level optimization framework coupling Bayesian optimization with deep reinforcement learning is proposed, which offers a practical path toward uncertainty-aware IES co-optimization.

Qing-Rong Liu, Jun-Chao Gui, Ying-Jun Ruan et al. · Building Simulation · 0 citations

Open access Sep 2026

Carbon-Aware Optimization of Battery and Thermal Storage for Residential 24/7 Carbon-Free Electricity Under Dynamic Grid Conditions

This study develops a probabilistic carbon-aware optimization framework for residential 24/7 carbon-free electricity (CFE) under uncertain load, PV generation and dynamic grid carbon intensity. Historical half-hourly monitoring data are represented through KDE-Copula scenario generation, while grid carbon factors are d...

Chen Zhou, Ying-Jun Ruan, Hua Meng et al. · Buildings · 0 citations