{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T07:13:51Z","timestamp":1760426031891,"version":"3.37.3"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,14]]},"DOI":"10.1109\/cdc45484.2021.9683613","type":"proceedings-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T20:50:18Z","timestamp":1643748618000},"page":"2456-2461","source":"Crossref","is-referenced-by-count":5,"title":["Real-time Wind Direction Estimation using Machine Learning on Operational Wind Farm Data"],"prefix":"10.1109","author":[{"given":"Farzad","family":"Karami","sequence":"first","affiliation":[{"name":"University of Texas at Dallas,Department of Mechanical Engineering,Richardson,TX,75080"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yujie","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Texas at Dallas,Department of Mechanical Engineering,Richardson,TX,75080"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario A.","family":"Rotea","sequence":"additional","affiliation":[{"name":"University of Texas at Dallas,Department of Mechanical Engineering,Richardson,TX,75080"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federico","family":"Bernardoni","sequence":"additional","affiliation":[{"name":"University of Texas at Dallas,Department of Mechanical Engineering,Richardson,TX,75080"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Leonardi","sequence":"additional","affiliation":[{"name":"University of Texas at Dallas,Department of Mechanical Engineering,Richardson,TX,75080"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.seta.2018.01.001"},{"key":"ref11","first-page":"20","article-title":"Design and implementation of artificial neural networks to predict wind directions on controlling yaw of wind turbine prototype","volume":"1","author":"dzulfikri","year":"2019","journal-title":"Journal of Robotics and Control (JRC)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2014.12.026"},{"key":"ref13","first-page":"3","article-title":"An overview of machine learning","author":"carbonell","year":"1983","journal-title":"Machine Learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-21579-2_9"},{"key":"ref15","article-title":"The elements of statistical learning","volume":"1","author":"friedman","year":"2001","journal-title":"New York Springer Series in Statistics"},{"article-title":"Fundamentals of artificial neural networks","year":"1995","author":"hassoun","key":"ref16"},{"journal-title":"Artificial Neural Networks","year":"2009","author":"yegnanarayana","key":"ref17"},{"key":"ref18","article-title":"Deep learning with Python","volume":"361","author":"chollet","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.07.084"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.08.011"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1903680116"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2018.8430751"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.5194\/wes-4-355-2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1618\/2\/022032"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2019.8814394"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5194\/wes-3-489-2018"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5194\/wes-2-229-2017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1063\/5.0036640"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2172\/947422"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref22"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1109\/MCS.2010.939962","article-title":"Control of wind turbines","volume":"31","author":"pao","year":"2011","journal-title":"IEEE Control Systems Magazine"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref23","first-page":"3","article-title":"Supervised machine learning: A review of classification techniques","volume":"160","author":"kotsiantis","year":"2007","journal-title":"Emerging Artificial Intelligence Applications in Computer Engineering"}],"event":{"name":"2021 60th IEEE Conference on Decision and Control (CDC)","start":{"date-parts":[[2021,12,14]]},"location":"Austin, TX, USA","end":{"date-parts":[[2021,12,17]]}},"container-title":["2021 60th IEEE Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9682670\/9682776\/09683613.pdf?arnumber=9683613","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T21:13:52Z","timestamp":1667510032000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9683613\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,14]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/cdc45484.2021.9683613","relation":{},"subject":[],"published":{"date-parts":[[2021,12,14]]}}}