{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T18:31:40Z","timestamp":1730226700441,"version":"3.28.0"},"reference-count":28,"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.2019.8912017","type":"proceedings-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T09:59:46Z","timestamp":1575021586000},"page":"1-6","source":"Crossref","is-referenced-by-count":7,"title":["Data-Driven Day-Ahead PV Estimation Using Hybrid Deep Learning"],"prefix":"10.1109","author":[{"given":"Yue","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Chenrui","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Ratnesh K.","family":"Sharma","sequence":"additional","affiliation":[]},{"given":"Anurag K.","family":"Srivastava","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.07.052"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2017.02.007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/en6052624"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2017.8228038"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/1687814017715983"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2016.7844673"},{"key":"ref16","article-title":"Accurate photovoltaic power forecasting models using deep LSTM-RNN","author":"abdel-nasser","year":"2017","journal-title":"Neural Computing and Applications"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT.2017.8085985"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2007.901117"},{"key":"ref19","article-title":"Scientific documentation for the NMM solver. NCAR Tech","volume":"477","author":"janjic","year":"2010","journal-title":"Note NCAR\/TN"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.01.039"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2172\/1069158"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/NAPS.2014.6965389"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IAS.2018.8544468"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2013.04.012"},{"key":"ref5","article-title":"NREL: How do high levels of wind and solar impact the grid? the western wind and solar integration study","author":"lew","year":"0","journal-title":"Tech Rep NREL 2010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2012.2190816"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/UPEC.2013.6714975"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IAS.2018.8544694"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.04.089"},{"journal-title":"Solar Energy Industries Association Technical Report","article-title":"U.S. Solar Market Insight","year":"2018","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.06.018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.05.055"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2017.11.019"},{"journal-title":"Deep Learning with Python","year":"2017","author":"chollet","key":"ref24"},{"year":"2015","author":"chollet","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2397003"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.03.061"}],"event":{"name":"2019 IEEE Industry Applications Society Annual Meeting","start":{"date-parts":[[2019,9,29]]},"location":"Baltimore, MD, USA","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\/08912017.pdf?arnumber=8912017","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:15:09Z","timestamp":1657854909000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8912017\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ias.2019.8912017","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}