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.
Papers
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Journal ArticleDOI
An inexact robust optimization method for supporting carbon dioxide emissions management in regional electric-power systems
Cong Chen,Y.P. Li,Guohe Huang +2 more
TL;DR: The IROM is applied to a case of energy systems and CO2 emission planning under uncertainty and can generate desired decision alternatives that are able to not only enhance electricity-supply safety with a low system-failure risk level but also mitigate CO2 emissions.
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Modeling for planning municipal electric power systems associated with air pollution control – A case study of Beijing
TL;DR: In this article, an interval-parameter full-infinite joint-probabilistic mixed-integer programming (IFJMP-EPS) method is developed for supporting EPS (electric power systems) management.
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An interval-parameter two-stage stochastic fuzzy program with type-2 membership functions: an application to water resources management
Shuo Wang,Guohe Huang +1 more
TL;DR: In this article, an interval-parameter two-stage stochastic fuzzy programming with type-2 membership functions (ITSFP-T2MF) approach for supporting water resources management under uncertainty is presented.
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Projected increases in near-surface air temperature over Ontario, Canada: a regional climate modeling approach
TL;DR: In this paper, high-resolution projections of near-surface air temperature outcomes including mean, maximum, and minimum daily temperature over Ontario are developed, aiming at investigating how the global warming would affect the local climatology of the major cities as well as the spatial patterns of air temperature over the entire Province.
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A two-stage inexact joint-probabilistic programming method for air quality management under uncertainty.
TL;DR: The developed TIJP method is applied to a case study of a regional air pollution control problem, where the air quality index is introduced for evaluation of the integrated air quality management system associated with multiple pollutants.