Yanpeng Cai

TL;DR: In this paper, a fuzzy-random interval programming (FRIP) model is proposed to identify optimal strategies in the planning of energy management systems under multiple uncertainties through the development of a FRIP model, which is based on an integration of the existing interval linear programming, superiority-inferiority-based fuzzy-stochastic programming (SI-FSP) and mixed integer linear programming (MILP).

TL;DR: In this article, an inexact community-scale energy model (ICS-EM) is developed for planning renewable energy management (REM) systems under uncertainty, which allows uncertainties presented as both probability distributions and interval values to be incorporated within a general optimization framework.

TL;DR: The UREM-IDSS can be used by decision makers as an effective technique in examining and visualizing impacts of energy and environmental policies, regional/community development strategies, emission reduction measures, and climate change within an integrated and dynamic framework.

TL;DR: In this paper, a review mainly focuses on the hydrological aspect of green infrastructure (GI) and provides a summary of the knowledge about GI as a stormwater management alternative, and discusses the operating mechanisms of a few widely-used GIs in the aspect of storm water management.

TL;DR: Wang et al. as mentioned in this paper analyzed spatial similarities and variations in water environmental carrying capacity, which contributes to carrying out different and scientific strategies for the management of water environment and for sustainable economic and social development in China.