{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T17:54:12Z","timestamp":1757613252785,"version":"3.44.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/iisa.2019.8900727","type":"proceedings-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T18:47:21Z","timestamp":1574707641000},"page":"1-4","source":"Crossref","is-referenced-by-count":2,"title":["Short Time Wind Forecasting with Uncertainty"],"prefix":"10.1109","author":[{"given":"Petros","family":"Karvelis","sequence":"first","affiliation":[{"name":"Institute &#x0026; Press &#x201C;Diophantus&#x201D; Patras,Computer Technology,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefanos","family":"Petsios","sequence":"additional","affiliation":[{"name":"Institute &#x0026; Press &#x201C;Diophantus&#x201D; Patras,Computer Technology,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Georgoulas","sequence":"additional","affiliation":[{"name":"Lulea University of Technology,Robotics Group,Lulea,Sweden,97187"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chrysostomos","family":"Stylios","sequence":"additional","affiliation":[{"name":"Institute &#x0026; Press &#x201C;Diophantus&#x201D; Patras,Computer Technology,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2009.932254"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.7763\/IJCTE.2009.V1.9"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/978-3-319-08254-7_19","article-title":"Deep Neural Network Modeling for Big Data Weather Forecasting","author":"liu","year":"2015","journal-title":"Information Granularity Big Data and Computational Intelligence"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1137\/16M1080173"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1257\/jep.15.4.143"},{"key":"ref15","article-title":"The Elements of Statistical Learning, Data Mining","author":"friedman","year":"2009","journal-title":"Inference and Prediction"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1002\/9780471722199","author":"seber","year":"2003","journal-title":"Linear Regression Analysis"},{"key":"ref17","article-title":"Large Scale Online Learning","volume":"16","author":"bottou","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref18","first-page":"983","article-title":"Quantile Regression Forests","volume":"7","author":"meinshausen","year":"2006","journal-title":"Journal of Machine Learning Research"},{"journal-title":"TUG-boat","year":"2019","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2017.8123210"},{"key":"ref3","first-page":"1","article-title":"A review of wind power and wind speed forecasting methods with different time horizons","author":"mandal","year":"2010","journal-title":"2010 North American Power Symposium (NAPS)"},{"journal-title":"Numerical Methods in Weather Prediction","year":"2012","author":"marchuk","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IS.2016.7737469"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2006.01.002"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/NatPC.2011.6136289"},{"journal-title":"Guide to Wave Analysis and Forecasting World Meterological organization","year":"0","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10098-004-0266-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2004.1384579"},{"journal-title":"Airmar Technology Corporation","year":"2019","key":"ref20"},{"key":"ref22","first-page":"4","article-title":"Metrics for offlineevaluation of prognostic performance","volume":"1","author":"saxena","year":"2010","journal-title":"International Journal of Prognostics and Health Management"},{"journal-title":"NMEA 2000","year":"2019","key":"ref21"},{"journal-title":"Forecasting Methods and Applications","year":"2012","author":"makridakis","key":"ref23"}],"event":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","start":{"date-parts":[[2019,7,15]]},"location":"Patras, Greece","end":{"date-parts":[[2019,7,17]]}},"container-title":["2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8893976\/8900660\/08900727.pdf?arnumber=8900727","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T18:20:23Z","timestamp":1757010023000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8900727\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/iisa.2019.8900727","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}