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      Multi-objective optimal scheduling model with IGDT method of integrated energy system considering ladder-type carbon trading mechanism

      Author(s): , , ,
      Publication date Created:
      Publication date (Print):
      Journal: International Journal of Electrical Power & Energy Systems
      Publisher: Elsevier BV

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          Information gap decision theory (IGDT)-based robust scheduling of combined cooling, heat and power energy hubs

          A. Rezaee Jordehi, Mohammad Sadegh Javadi, Miadreza Shafie-khah … (2021)
          Article 0 comments Cited 21 times – based on 0 reviews     Review now
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            Environmental economic dispatch of integrated regional energy system considering integrated demand response

            Liangce He, Zhigang Lu, Lijun Geng … (2020)
            Article 0 comments Cited 20 times – based on 0 reviews     Review now
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              A two-stage operation optimization method of integrated energy systems with demand response and energy storage

              Lizhi Zhang, Jiyuan Kuang, Bo Sun … (2020)
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                Author and article information

                Journal
                Title: International Journal of Electrical Power & Energy Systems
                Abbreviated Title: International Journal of Electrical Power & Energy Systems
                Publisher: Elsevier BV
                ISSN (Print): 01420615
                Publication date Created: December 2022
                Publication date (Print): December 2022
                Volume: 143
                Page: 108386
                Article
                DOI: 10.1016/j.ijepes.2022.108386
                SO-VID: 5ee9917d-567f-48a1-a934-5575c5c73bd0
                Copyright © © 2022
                License:

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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