{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T23:49:01Z","timestamp":1774396141349,"version":"3.50.1"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/ias.2019.8911916","type":"proceedings-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T04:59:46Z","timestamp":1575003586000},"page":"1-16","source":"Crossref","is-referenced-by-count":35,"title":["Probabilistic Prediction of Regional Wind Power Based on Spatiotemporal Quantile Regression"],"prefix":"10.1109","author":[{"given":"Yixiao","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueshan","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiajun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1045","article-title":"Recurrent neural network based language model","author":"tom\u00e1\u0161 karafi\u00e1t","year":"2010","journal-title":"InterSpeech"},{"key":"ref38","article-title":"LSTM: A search space odyssey","volume":"28","author":"klaus","year":"2015","journal-title":"IEEE Trans on Neural Net And Learning Sys"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2037"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/KSE.2017.8119429"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2690297"},{"key":"ref30","first-page":"228","article-title":"Local Linear Quantile Regression","volume":"93","author":"keming","year":"0","journal-title":"J Am Stats Assoc"},{"key":"ref37","author":"nal","year":"2004","journal-title":"A convolutional neural network for modelling sentences[J]"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1257\/jep.15.4.143","article-title":"Quantile Regression","volume":"15","author":"roger","year":"2001","journal-title":"Journal of Economic Perspectives"},{"key":"ref35","first-page":"2220","article-title":"A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities","volume":"18","author":"chiou-jye","year":"0","journal-title":"SENSORS"},{"key":"ref34","author":"hyun bae","year":"2016","journal-title":"Acoustic Scene Classification Using Parallel Combination of LSTM and CNN"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2011.2114680"},{"key":"ref40","article-title":"LSTM: A search space odyssey","volume":"28","author":"klaus","year":"2015","journal-title":"IEEE Trans on Neural Net And Learning Sys"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.03.035"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2014.01.033"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2016.02.001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2822784"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2015.2472963"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2013.2265292"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2019.2912270"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2276053"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2013.2287871"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2007.06.027"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/j.rser.2008.02.002","article-title":"A review on the forecasting of wind speed and generated power","volume":"13","author":"ma","year":"2009","journal-title":"Renew Sustain Energy Rev"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1002\/we.180","article-title":"Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts","volume":"9","author":"henrik aalborg","year":"2006","journal-title":"Wind Energy"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2009.12.011"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2012.04.001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2625101"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2008.09.006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.12.071"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/60.556376"},{"key":"ref2","year":"2017","journal-title":"Global wind report annual market update 2016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2018.2831238"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2017.2782207"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2424078"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2011.643745"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2008.922526"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2015.2393880"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2012.03.018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2012.2200302"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2014.2299801"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2016.01.023"}],"event":{"name":"2019 IEEE Industry Applications Society Annual Meeting","location":"Baltimore, MD, USA","start":{"date-parts":[[2019,9,29]]},"end":{"date-parts":[[2019,10,3]]}},"container-title":["2019 IEEE Industry Applications Society Annual Meeting"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8894477\/8911839\/08911916.pdf?arnumber=8911916","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T23:15:09Z","timestamp":1657840509000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8911916\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ias.2019.8911916","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}