2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Prediction of power consumption and water productivity of seawater greenhouse system using random vector functional link network integrated with artificial ecosystem-based optimization

      , ,
      Process Safety and Environmental Protection
      Elsevier BV

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: not found
          • Article: not found

          Applications of nanofluids in solar energy: A review of recent advances

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            An enhanced productivity prediction model of active solar still using artificial neural network and Harris Hawks optimizer

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A review on meta-heuristics methods for estimating parameters of solar cells

                Bookmark

                Author and article information

                Contributors
                Journal
                Process Safety and Environmental Protection
                Process Safety and Environmental Protection
                Elsevier BV
                09575820
                December 2020
                December 2020
                : 144
                : 322-329
                Article
                10.1016/j.psep.2020.07.044
                d7d8af3b-5e47-44d6-b5c3-cfe1252ec2c6
                © 2020

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

                History

                Comments

                Comment on this article