{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T06:29:52Z","timestamp":1759991392766,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"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":[[2019,10]]},"DOI":"10.1109\/ictc46691.2019.8939695","type":"proceedings-article","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T01:10:37Z","timestamp":1578013837000},"page":"1120-1125","source":"Crossref","is-referenced-by-count":4,"title":["Uncertainty-aware Deep Learning Forecast using Dropout-based Ensemble Method"],"prefix":"10.1109","author":[{"given":"HyunYong","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nac-Woo","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun-Gi","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Byung-Tak","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2016.06.069"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2009.05.016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTCOMP.2016.7501718"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2009.2020300"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2011.01.007"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2015.2502423"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/PMAPS.2016.7764064"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/en10101669"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2608740"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2017.07.052"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/en6020733"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2616902"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/we.444"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2015.03.006"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/env.2267"},{"key":"ref16","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","volume-title":"Proc. of the 33rd International Conference on International Conference on Machine Learning","author":"Gal"},{"key":"ref17","article-title":"Review of Deep Learning","author":"Zhang","year":"2018","journal-title":"CoRR, arXiv:1804.01653"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.09.045"},{"issue":"1","key":"ref19","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"ACM Journal of Machine Learning Research"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2004.1380068"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511754098"},{"volume-title":"Examining Information Entropy Approaches as Wind Power Forecasting Performance Metrics","year":"2012","author":"Hodge","key":"ref22"},{"key":"ref23","first-page":"547","article-title":"On Measures of Entropy and Information","volume-title":"Proc. of the Fourth Berkeley Symposium on Mathematical Statistics and Probability","author":"R\u00e9nyi"},{"article-title":"TensorFlow: A system for large-scale machine learning","volume-title":"Proc. of 12th USENIX Conference on Operating Systems Design and Implementation","author":"Abadi","key":"ref24"},{"volume-title":"Jetson TX2 Module","key":"ref25"},{"volume-title":"Tensorflow Lite","key":"ref26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"event":{"name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","start":{"date-parts":[[2019,10,16]]},"location":"Jeju Island, Korea (South)","end":{"date-parts":[[2019,10,18]]}},"container-title":["2019 International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8932631\/8939563\/08939695.pdf?arnumber=8939695","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T00:15:10Z","timestamp":1706055310000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8939695\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ictc46691.2019.8939695","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}