{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T02:40:52Z","timestamp":1769049652879,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3041600","type":"journal-article","created":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T22:35:02Z","timestamp":1606862102000},"page":"223078-223088","source":"Crossref","is-referenced-by-count":3,"title":["Periodic Time Series Data Analysis by Deep Learning Methodology"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0411-0878","authenticated-orcid":false,"given":"Haolong","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0933-2370","authenticated-orcid":false,"given":"Haoye","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4605-0500","authenticated-orcid":false,"given":"Amiya","family":"Nayak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","author":"young","year":"2018","journal-title":"Rain in Australia"},{"key":"ref38","author":"mulla","year":"2018","journal-title":"Hourly Energy Consumption"},{"key":"ref33","first-page":"823","article-title":"Two problems with back propagation and other steepest descent learning procedures for networks","author":"sutton","year":"1986","journal-title":"Proc 8th Annu Conf Cogn Sci Soc"},{"key":"ref32","first-page":"2121","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"duchi","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref31","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref30","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref37","year":"2009","journal-title":"ENTSO-E Statistical Database"},{"key":"ref36","author":"castro","year":"2016","journal-title":"Weather Madrid 1997&#x2013;2015"},{"key":"ref35","author":"gene","year":"2017","journal-title":"Historical Hourly Weather Data 2012&#x2013;2017"},{"key":"ref34","first-page":"1","article-title":"Understanding deep learning requires rethinking generalization","author":"zhang","year":"2017","journal-title":"Proc ICLR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-018-0029-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.02.010"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2017.8282241"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-811968-6.00009-7"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0361-2"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2416723"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-013-0322-1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-22729-0_20"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0133"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0377-7"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3102\/00346543045001089"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622006002258"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICT.2019.8798792"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-018-0557-y"},{"key":"ref29","first-page":"1614","article-title":"From softmax to sparsemax: A sparse model of attention and multi-label classification","author":"martins","year":"2016","journal-title":"Proc ICML"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2379776.2379788"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.01.008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-016-0483-9"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2018.04.114"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.056"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-017-2424-7"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-015-0418-x"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.72"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.02.030"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3182382"},{"key":"ref26","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1978.10837"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09274411.pdf?arnumber=9274411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:18Z","timestamp":1639770918000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9274411\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3041600","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}