Shengyi Wang Source Confirmed

OverviewAI-generated summary

Shengyi Wang's research focuses on the optimization of complex systems, particularly within energy and manufacturing domains. His work has investigated multi-objective process parameter optimization for Selective Laser Melting (SLM) using ensemble metamodels and the intelligent classification of porosity in SLM through coaxial monitoring and image processing. In the energy sector, Wang has explored deep reinforcement scheduling of energy storage systems for voltage regulation in unbalanced low-voltage networks with high photovoltaic penetration. He has also studied learning in potential games for electric power grids and the stochastic stability of synchronous learning for electric vehicle aggregators. His research extends to state-of-charge estimation for lithium-ion batteries using a Quantum Particle Swarm Optimization Extended Kalman Quantum Particle Filter approach. Wang has published 67 papers, with an h-index of 13 and 974 citations.

Metrics

• h-index: 13
• Publications: 67
• Citations: 974