A pseudo-optimal inexact stochastic interval T2 fuzzy sets approach for energy and environmental systems planning under uncertainty: A case study for Xiamen City of China-Reference-Cited by-同舟云学术

A pseudo-optimal inexact stochastic interval T2 fuzzy sets approach for energy and environmental systems planning under uncertainty: A case study for Xiamen City of China

Published:2015-01 Issue: Volume:138 Page:71-90
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Jin L.,Huang G.H.,Fan Y.R.,Wang L.,Wu T.

Funder

Program for Innovative Research Team

Xiamen Science Project

Fujian Educational Bureau Project

Natural Science and Engineering Research Council of Canada

MOE Key Project Program

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference79 articles.

1. Energy and climate goals of China’s 12th five-year plan;Lewis;Center Clim Energy Solutions,2011

2. China in the transition to a low-carbon economy;Zhang;Energy Policy,2010

3. Consumer preferences for small-lot greenhouse gas emission credits attached to automobile insurance;Yoshida;J Environ Inform,2009

4. Environmental unpredictability and plastic energy allocation strategies in the annual Polygonum cascadense (Polygonaceae);Hickman;J Ecol,1975

5. Dry weight indicates energy allocation in ecological strategy analysis of plants;Hickman;Oecologia,1975

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of an integrated BLSVM-MFA method for analyzing renewable power-generation potential under climate change: A case study of Xiamen;Applied Energy;2023-05

2. A review on the integration and optimization of distributed energy systems;Renewable and Sustainable Energy Reviews;2022-07

3. Energy-water-carbon nexus system planning: A case study of Yangtze River Delta urban agglomeration, China;Applied Energy;2022-02

4. Balancing the Energy Trilemma in energy system planning of coastal cities;Applied Energy;2021-02

5. Uncertainty Modeling in Operation of Multi-carrier Energy Networks;Planning and Operation of Multi-Carrier Energy Networks;2021