Multi-stage stochastic optimization framework for power generation system planning integrating hybrid uncertainty modelling-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multi-stage stochastic optimization framework for power generation system planning integrating hybrid uncertainty modelling

Published:2019-05 Issue: Volume:80 Page:760-776
ISSN:0140-9883
Container-title:Energy Economics
language:en
Short-container-title:Energy Economics

Author:

Ioannou Anastasia,Fuzuli Gulistiani,Brennan Feargal,Yudha Satya Widya,Angus Andrew

Funder

Cranfield University

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

General Energy,Economics and Econometrics

Reference62 articles.

1. Multiobjective generation expansion planning considering power system adequacy;Aghaei;Electr. Power Syst. Res.,2013

2. Optimal allocation of energy sources for sustainable development in South Korea: focus on the electric power generation industry;Ahn;Energy Policy,2015

3. Robust optimization for petrochemical network design under uncertainty;Al-Qahtani;Ind. Eng. Chem. Res.,2008

4. Indonesia energy sector, assessment, strategy, and road map;Asian Development Bank;July,2016

5. Generation expansion planning by MILP considering mid-term scheduling decisions;Bakirtzis;Electr. Power Syst. Res.,2012

Cited by 78 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. Multistage Stochastic optimization for mid-term integrated generation and maintenance scheduling of cascaded hydroelectric system with renewable energy uncertainty;European Journal of Operational Research;2024-10

2. Multi-objective optimization of regional power generation mix considering both carbon cap-and-trade mechanisms and renewable portfolio standards;Renewable Energy;2024-09

3. Taking a Portfolio approach to wind and solar deployment: The case of the National Electricity Market in Australia;Applied Energy;2024-09

4. Replacing Gray Hydrogen with Renewable Hydrogen at the Consumption Location Using the Example of the Existing Fertilizer Plant;Sustainability;2024-07-27

5. Dynamic stochastic projection method for multistage stochastic variational inequalities;Computational Optimization and Applications;2024-07-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3