{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T14:28:49Z","timestamp":1775572129836,"version":"3.50.1"},"reference-count":31,"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.2019.8912348","type":"proceedings-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T09:59:46Z","timestamp":1575021586000},"page":"1-9","source":"Crossref","is-referenced-by-count":24,"title":["Deep Learning Based Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image"],"prefix":"10.1109","author":[{"given":"Fei","family":"Wang","sequence":"first","affiliation":[]},{"given":"Zhanyao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Hua","family":"Chai","sequence":"additional","affiliation":[]},{"given":"Yili","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Xiaoxing","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Tieqiang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yuzhang","family":"Lin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.01.103"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2824842"},{"key":"ref10","year":"2018","journal-title":"International Energy Agency-Photovoltaic Power Systems Programme"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2018.10.024"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2018.08.039"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2017.11.080"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2019.2904927"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2015.09.001"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1016\/j.renene.2018.11.056","article-title":"Sky image-based solar irradiance prediction methodologies using artificial neural networks","volume":"134","author":"oktavia","year":"2019","journal-title":"Renew Energy"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2019.01.096"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IAS.2018.8544694"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1039\/C7EE03420B"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2019.2898367"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2011.10.065"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2876358"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/en5051355"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"7","DOI":"10.3390\/en10010007","article-title":"Correlation feature selection and mutual information theory based quantitative research on meteorological impact factors of module temperature for solar photovoltaic systems","volume":"10","author":"sun","year":"2016","journal-title":"Energies"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2019.2922927"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/app8010028"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.enconman.2018.11.074","article-title":"Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting","volume":"181","author":"wang","year":"2018","journal-title":"Energy Convers Manag"},{"key":"ref7","first-page":"26","article-title":"Research on short-term module temperature prediction model based on BP neural network for photovoltaic power forecasting","author":"sun","year":"2015","journal-title":"Proc IEEE Power and Energy Society General Meeting (PES GM'09)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2014.10.002"},{"key":"ref9","year":"0"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.09.094"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.06.017"},{"key":"ref22","author":"karpathy","year":"2015","journal-title":"Visualizing and understanding recurrent networks"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2693121"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2017.2781639"}],"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\/08912348.pdf?arnumber=8912348","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:21:55Z","timestamp":1657855315000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8912348\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ias.2019.8912348","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}