{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:02:08Z","timestamp":1777489328910,"version":"3.51.4"},"reference-count":67,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2020,2,29]],"date-time":"2020-02-29T00:00:00Z","timestamp":1582934400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010198","name":"Ministerio de Econom\u00eda, Industria y Competitividad, Gobierno de Espa\u00f1a","doi-asserted-by":"publisher","award":["RTI2018-094902-B-C21"],"award-info":[{"award-number":["RTI2018-094902-B-C21"]}],"id":[{"id":"10.13039\/501100010198","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014440","name":"MINISTERIO DE CIENCIA, INNOVACION Y UNIVERSIDADES","doi-asserted-by":"publisher","award":["RTI2018-094902-B-C22 (MCIU\/AEI\/FEDER, UE)"],"award-info":[{"award-number":["RTI2018-094902-B-C22 (MCIU\/AEI\/FEDER, UE)"]}],"id":[{"id":"10.13039\/100014440","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003086","name":"Eusko Jaurlaritza","doi-asserted-by":"publisher","award":["IT1207-19"],"award-info":[{"award-number":["IT1207-19"]}],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Oscillating water column (OWC) plants face power generation limitations due to the stalling phenomenon. This behavior can be avoided by an airflow control strategy that can anticipate the incoming peak waves and reduce its airflow velocity within the turbine duct. In this sense, this work aims to use the power of artificial neural networks (ANN) to recognize the different incoming waves in order to distinguish the strong waves that provoke the stalling behavior and generate a suitable airflow speed reference for the airflow control scheme. The ANN is, therefore, trained using real surface elevation measurements of the waves. The ANN-based airflow control will control an air valve in the capture chamber to adjust the airflow speed as required. A comparative study has been carried out to compare the ANN-based airflow control to the uncontrolled OWC system in different sea conditions. Also, another study has been carried out using real measured wave input data and generated power of the NEREIDA wave power plant. Results show the effectiveness of the proposed ANN airflow control against the uncontrolled case ensuring power generation improvement.<\/jats:p>","DOI":"10.3390\/s20051352","type":"journal-article","created":{"date-parts":[[2020,3,3]],"date-time":"2020-03-03T03:13:28Z","timestamp":1583205208000},"page":"1352","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["ANN-Based Airflow Control for an Oscillating Water Column Using Surface Elevation Measurements"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2935-3830","authenticated-orcid":false,"given":"Fares","family":"M'zoughi","sequence":"first","affiliation":[{"name":"Automatic Control Group-ACG, Department of Automatic Control and Systems Engineering, Faculty of Engineering of Bilbao, Institute of Research and Development of Processes-IIDP, University of the Basque Country-UPV\/EHU, Po Rafael Moreno no3, 48013 Bilbao, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9801-4130","authenticated-orcid":false,"given":"Izaskun","family":"Garrido","sequence":"additional","affiliation":[{"name":"Automatic Control Group-ACG, Department of Automatic Control and Systems Engineering, Faculty of Engineering of Bilbao, Institute of Research and Development of Processes-IIDP, University of the Basque Country-UPV\/EHU, Po Rafael Moreno no3, 48013 Bilbao, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aitor J.","family":"Garrido","sequence":"additional","affiliation":[{"name":"Automatic Control Group-ACG, Department of Automatic Control and Systems Engineering, Faculty of Engineering of Bilbao, Institute of Research and Development of Processes-IIDP, University of the Basque Country-UPV\/EHU, Po Rafael Moreno no3, 48013 Bilbao, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9320-9433","authenticated-orcid":false,"given":"Manuel","family":"De La Sen","sequence":"additional","affiliation":[{"name":"Automatic Control Group-ACG, Department of Electricity and Electronics, Faculty of Science and Technology, Institute of Research and Development of Processes-IIDP, University of the Basque Country-UPV\/EHU, Bo Sarriena s\/n, 48080 Leioa, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,29]]},"reference":[{"key":"ref_1","unstructured":"Huckerby, J., Jeffrey, H., Jay, B., and Executive, O. 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