G
Guohe Huang
Researcher at Applied Science Private University
Publications - 1071
Citations - 30520
Guohe Huang is an academic researcher from Applied Science Private University. The author has contributed to research in topics: Stochastic programming & Fuzzy logic. The author has an hindex of 72, co-authored 979 publications receiving 25589 citations. Previous affiliations of Guohe Huang include Peking University & Beijing Normal University.
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An inexact mixed risk-aversion two-stage stochastic programming model for water resources management under uncertainty
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.
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SEWHAPM: Development of a Water Hydraulic Axial Piston Motor for Underwater Tool Systems
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.
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A novel multi-stage fuzzy stochastic programming for electricity system structure optimization and planning with energy-water nexus - A case study of Tianjin, China
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.
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Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties
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.
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Planning municipal-scale energy systems under functional interval uncertainties
Y. Zhu,Yang Li,Guohe Huang +2 more
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.