Blog
About

65
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      An Intelligent Weather Station

      Read this article at

      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.

          Abstract

          Accurate measurements of global solar radiation, atmospheric temperature and relative humidity, as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comfort in buildings. For this reason, an intelligent, light-weight, self-powered and portable sensor was developed, using a nearest-neighbors (NEN) algorithm and artificial neural network (ANN) models as the time-series predictor mechanisms. The hardware and software design of the implemented prototype are described, as well as the forecasting performance related to the three atmospheric variables, using both approaches, over a prediction horizon of 48-steps-ahead.

          Related collections

          Most cited references 40

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

          An Algorithm for Least-Squares Estimation of Nonlinear Parameters

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

            A method for the solution of certain non-linear problems in least squares

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

              Neural networks, a comprehensive foundation

               S HAYKIN,  S Haykin,  SS Haykin (1999)
                Bookmark

                Author and article information

                Affiliations
                [1 ]EasySensing—Intelligent Systems, Centro Empresarial de Gambelas, Pav A5, Campus de Gambelas, University of Algarve, 8005-139 Faro, Portugal; goncalomestre@ 123456easysensing.pt (G.M.); sergiosilva@ 123456easysensing.pt (S.S.)
                [2 ]Faculty of Science and Technology, Campus de Gambelas, University of Algarve, 8005-139 Faro, Portugal; hsduarte@ 123456ualg.pt (H.D.); hkhosravani@ 123456csi.fct.ualg.pt (H.K.); spesteh@ 123456csi.fct.ualg.pt (S.P.)
                [3 ]Centre for Intelligent Systems, IDMEC, Instituto Superior Técnico, 1049-001 Lisboa, Portugal
                [4 ]LaSIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal; pmf@ 123456ciencias.ulisboa.pt
                [5 ]Rolear SA, 8001-906 Faro, Portugal; ricardohorta@ 123456rolear.pt
                Author notes
                [* ]Correspondence: aruano@ 123456ualg.pt ; Tel.: +351-289-800-999; Fax: +351-289-800-066
                [†]

                These authors contributed equally to this work.

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                10 December 2015
                December 2015
                : 15
                : 12
                : 31005-31022
                26690433 4721761 10.3390/s151229841 sensors-15-29841
                © 2015 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                Categories
                Article

                Comments

                Comment on this article