Risk-based electric power system planning for climate change mitigation through multi-stage joint-probabilistic left-hand-side chance-constrained fractional programming: A Canadian case study-Reference-Cited by-同舟云学术

Risk-based electric power system planning for climate change mitigation through multi-stage joint-probabilistic left-hand-side chance-constrained fractional programming: A Canadian case study

Published:2018-02 Issue: Volume:82 Page:1056-1067
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Wang Lin,Huang Gordon,Wang Xiuquan,Zhu Hua

Funder

National Key Research and Development Plan

Natural Sciences Foundation

National Basic Research and 111 Programs

Natural Science and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

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3. An interval mixed-integer non-linear programming model to support regional electric power systems planning with CO 2 capture and storage under uncertainty;Wang;Environ Syst Res,2012

4. High-resolution probabilistic projections of temperature changes over Ontario, Canada;Wang;J Clim,2014

5. High‐resolution temperature and precipitation projections over Ontario, Canada: a coupled dynamical‐statistical approach;Wang;Q J R Meteorol Soc,2015

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