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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An inexact two-stage stochastic robust programming for residential micro-grid management-based on random demand
L. Ji,Dongxiao Niu,Guohe Huang +2 more
TL;DR: In this article, a stochastic robust optimization problem of residential micro-grid energy management is presented, where two-stage programming is utilized to find the optimal installed capacity investment and operation control of CCHP (combined cooling heating and power).
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IPEM: An Interval-parameter Energy Systems Planning Model
Q. G. Lin,Guohe Huang +1 more
TL;DR: In this article, an interval-parameter linear programming approach is introduced to develop an intervalparameter energy systems model (IPEM) for supporting effective regional energy systems planning under uncertainty.
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An interval-valued fuzzy-stochastic programming approach and its application to municipal solid waste management
TL;DR: In this study, an interval-valued fuzzy-stochastic programming (IVFSP) approach is developed for municipal solid waste (MSW) management under uncertainty and results indicate that interval solutions associated with different risk levels of constraint violation have been generated.
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An inexact two-stage stochastic programming model for water resources management in Nansihu Lake Basin, China.
TL;DR: In this study, an inexact two-stage water resources management model was developed for multi-regional water resources planning in the Nansihu lake Basin, China and can provide an effective linkage between economic benefits and the associated penalties attributed to the violation of predefined policies.
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A nonlinear fractional programming approach for environmental–economic power dispatch
TL;DR: In this paper, a nonlinear fractional programming approach is provided for addressing the environmental-economic power dispatch problems in the thermal power dispatch systems, which is realized by two simultaneous models with nonlinear constraints.