{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T04:26:23Z","timestamp":1730262383340,"version":"3.28.0"},"reference-count":72,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/iecon.2019.8926889","type":"proceedings-article","created":{"date-parts":[[2019,12,27]],"date-time":"2019-12-27T21:00:17Z","timestamp":1577480417000},"page":"2481-2488","source":"Crossref","is-referenced-by-count":5,"title":["Review on Optimal Wind Farm Control Techniques and Prospects of Artificial Intelligence"],"prefix":"10.1109","author":[{"given":"Abubakar","family":"Isa","sequence":"first","affiliation":[]},{"given":"Johnny","family":"Chhor","sequence":"additional","affiliation":[]},{"given":"Philip","family":"Krajiski","sequence":"additional","affiliation":[]},{"given":"Vile","family":"Kipke","sequence":"additional","affiliation":[]},{"given":"Constantinos","family":"Sourkounis","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.2172\/947422"},{"journal-title":"Aeolus FP7 [toolbox VI 0] Research software 2012","year":"0","key":"ref71"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2010.08.026"},{"key":"ref39","first-page":"1","article-title":"Heat and flux - increase of wind farm production by reduction of the axial induction","author":"corten","year":"0","journal-title":"European Wind Energy Conference"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.05.052"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/625\/1\/012039"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1037\/3\/032012"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/we.1822"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2014.02.015"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1115\/1.4031593"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2013.2257780"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/we.1891"},{"journal-title":"Non-Conventional Energy Resources","year":"2014","author":"khan","key":"ref34"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2010.2066585"},{"key":"ref62","first-page":"47","article-title":"Anfis-based algorithms for detection and classification of fault on transmission lines","volume":"3","author":"abubakar isa","year":"2016","journal-title":"European Journal of Advances in Engineering and Technology"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/SIBIRCON.2010.5555123"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/IRSEC.2016.7984000"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-8788-2_60"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2013.10.021"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/en7095624"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2008.2007005"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/903493"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/we.380"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.806645"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2005.857690"},{"key":"ref69","first-page":"160","article-title":"A new look at nonlinear time series prediction with narx recurrent neural network","author":"menezes","year":"0","journal-title":"2006 Ninth Brazilian Symposium on Neural Networks (SBRN‘06)"},{"year":"2019","key":"ref2"},{"year":"2018","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CACSD.2011.6044549"},{"key":"ref22","article-title":"The sowfa super-controller: A high-fidelity tool for evaluating wind plant control approaches","author":"fleming","year":"2013","journal-title":"Proc of the EWEA Annual Meeting"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"3639","DOI":"10.3182\/20140824-6-ZA-1003.02071","article-title":"Dynamic programming framework for wind power maximization","volume":"47","author":"rotea","year":"0","journal-title":"IFAC Proceedings Volumes"},{"key":"ref24","first-page":"65","article-title":"Potential improvement of wind turbine array efficiency by active wake control (awe)","author":"dahlberg","year":"0","journal-title":"Proceedings of the European Wind Energy Conference and Exhibition"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1017\/jfm.2016.595"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.1117\/12.2009618","article-title":"Wind farm power maximization based on a cooperative static game approach","author":"park","year":"2013","journal-title":"Active and Passive Smart Structures and Integrated Systems 2013"},{"key":"ref25","article-title":"Efficient optimization of large wind farms for real-time control","author":"jennifer annoni","year":"2018","journal-title":"American Control Conference Milwaukee"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2014.11.011"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2008.02.002"},{"key":"ref59","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1002\/we.513","article-title":"Wind turbine SCADA alarm analysis for improving reliability","volume":"15","author":"qiu","year":"2011","journal-title":"Wind Energy"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2006.02.011"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.06.018"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2017.01.065"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2012.11.040"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2015.08.214"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-014-1189-1"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2011.09.009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1104\/1\/012036"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jweia.2016.04.004"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2012.08.048"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.07.084"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2682789"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2009.5160195"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2009.5160152"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2016.7525111"},{"journal-title":"Status of wake and array loss research","year":"1991","author":"elliott","key":"ref17"},{"journal-title":"Survey of wind farm control—power andfatigue optimization","year":"2014","author":"torben","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2017.7962923"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.06.016"},{"journal-title":"Communication from the Commission to the European Parliament the Council the European Economic and Social Committee and the Committee of the Regions Brussels","article-title":"European Commission. Energy Roadmap 2050","year":"2011","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EVER.2019.8813521"},{"journal-title":"How artificial intelligence will improve o&m","year":"2018","author":"p d","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.17775\/CSEEJPES.2017.0005"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2695485"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.seta.2013.12.001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2015.2478381"},{"journal-title":"The importance of wind forecasting","year":"2009","author":"jeff","key":"ref46"},{"journal-title":"Google and deepmind are using ai to predict the energy output of wind farms","year":"2019","author":"statt","key":"ref45"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2007.06.013"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ISAP.2011.6082239"},{"key":"ref42","article-title":"Heat and flux. analysis of field measurements technical report ecn-e-12–048","author":"boorsma","year":"2012","journal-title":"Petten Therlands Energy Research Centre of the Netherlands"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1260\/0309-524X.36.6.701","article-title":"Assessment of extremum seeking control for wind farm energy production","volume":"36","author":"kathryn","year":"2012","journal-title":"Wind Engineering"},{"journal-title":"Introduction to expert systems","year":"1986","author":"j p","key":"ref44"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511794797"}],"event":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","start":{"date-parts":[[2019,10,14]]},"location":"Lisbon, Portugal","end":{"date-parts":[[2019,10,17]]}},"container-title":["IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8897531\/8926608\/08926889.pdf?arnumber=8926889","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T22:29:53Z","timestamp":1598221793000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8926889\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1109\/iecon.2019.8926889","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}