Guohe Huang

TL;DR: The developed model was a hybrid methodology of interval-parameter programming, conditional value-at-risk measure, and a general two-stage stochastic programming framework that could help managers generate feasible and balanced risk-aversion allocation plans, and analyze the trade-offs between system stability and economy.

TL;DR: In this paper, a static equilibrium-type water hydraulic axial piston motor (SEWHAPM), which is equipped with a global-moment-balanced plate valve and a hydrostatic slipper bearing with a concentric gap damper, is developed.

TL;DR: A novel multi-stage fuzzy stochastic programming (MSFSP) model was developed for regional energy system structure optimization and planning with energy-water nexus under multiple uncertainties and it was found that water resource availability would be a significant factor in promoting local power structure and electricity generation in the future.

TL;DR: In this article, a multistage inexactfactorial fuzzy probability programming (MIFP) method is developed for optimizing electric power systems with cost minimization and environmental-impact mitigation.

TL;DR: In this paper, an interval-parameter chanced-constrained full-infinite mixed-integer programming (ICFMP) approach is proposed for planning energy systems under functional interval uncertainties.