Guohe Huang

TL;DR: A superiority–inferiority-based minimax-regret analysis (SI-MRA) model is developed for supporting the energy management systems (EMS) planning under uncertainty and can help decision makers identify an optimal strategy of planning electricity generation and capacity expansion based on a minimax regret level under uncertainty.

TL;DR: In this paper, the authors investigated the overall partitioning of three representative polycyclic aromatic hydrocarbons (PAHs) in the soil-water-surfactant system which takes into consideration the soil sorbed cationic Gemini surfactant, presence of Gemini micelles, and related developed coefficients.

TL;DR: In this article, an interval fuzzy programming with a risk measure model which takes carbon capture technology and carbon reduction targets into account, to ensure that the complex electric management system achieves the best developmental state.

TL;DR: In this article, a multi-hierarchy industrial virtual water network model (MIVWN) was developed for analyzing the status of varied industrial sectors in the virtual-water system, and a special case study for Hubei Province, China, was conducted to demonstrate the potential profits of its use in the formulation of water-resource management related legislation.

TL;DR: In this paper, an inexact fuzzy-probabilistic programming (IFPP) method is advanced for developing optimal municipal solid waste (MSW) management strategy with uncertain information, which can support the assessment of risk of violating constraints associated with fuzzy and random features.