{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T01:07:26Z","timestamp":1778288846097,"version":"3.51.4"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1109\/access.2022.3185747","type":"journal-article","created":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T19:32:43Z","timestamp":1656012763000},"page":"68686-68699","source":"Crossref","is-referenced-by-count":42,"title":["Short-Term Three-Phase Load Prediction With Advanced Metering Infrastructure Data in Smart Solar Microgrid Based Convolution Neural Network Bidirectional Gated Recurrent Unit"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7220-7356","authenticated-orcid":false,"given":"Phuong Nguyen","family":"Thanh","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"}]},{"given":"Ming-Yuan","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"}]},{"given":"Chun-Lung","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"}]},{"given":"Meng-Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/59.910780"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1987.13927"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4236\/epe.2011.34067"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2007.907583"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2015.2389753"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2844307"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2926137"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2019.04.034"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.10.119"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.03.081"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/PECI48348.2020.9064654"},{"key":"ref12","first-page":"535","article-title":"LSTM encoder-predictor for short-term train load forecasting","volume-title":"Proc. Joint Eur. Conf. Mach. Learn. Knowl. Discovery Databases","author":"Pasini"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/en13236241"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3000184"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2015.7404793"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952599"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/en13020391"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/EAIT.2018.8470406"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298977"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2016.7552883"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12235"},{"key":"ref22","article-title":"LSTM neural reordering feature for statistical machine translation","author":"Cui","year":"2015","journal-title":"arXiv:1512.00177"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2753802"},{"issue":"39","key":"ref24","first-page":"122","article-title":"Short-term electrical load forecasting based on deep learning LSTM networks","volume":"10","author":"Zhuo","year":"2018","journal-title":"Electron. Technol."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2873712"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2016.7793413"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MWSCAS.2017.8053243"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/POWERCON.2018.8601718"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/EI2.2018.8582419"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107627"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/s21051639"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1693\/1\/012116"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2019.01.950"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3121312"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3028281"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.05.230"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3060290"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3060654"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2020.11.078"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2018.8587554"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3009537"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/1428104"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-9783-7_58"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rpg.2018.6257"},{"key":"ref45","first-page":"1","article-title":"Household electricity power consumption prediction using CNN-GRU techniques","volume-title":"Proc. Int. Conf. Syst., Comput., Autom. Netw. (ICSCAN)","author":"Suresh"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM41954.2020.9282124"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1002\/0471667196.ess5050.pub2"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1002\/0470011815.b2a15150"},{"key":"ref49","article-title":"Recurrent neural network regularization","author":"Zaremba","year":"2014","journal-title":"arXiv:1409.2329"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2010-343"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2_9"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref54","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.21629\/JSEE.2017.01.18"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09804710.pdf?arnumber=9804710","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T05:06:05Z","timestamp":1706763965000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9804710\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3185747","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}