{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T15:34:03Z","timestamp":1769355243955,"version":"3.49.0"},"reference-count":47,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T00:00:00Z","timestamp":1574380800000},"content-version":"vor","delay-in-days":325,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2018YFB0904200"],"award-info":[{"award-number":["2018YFB0904200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>The multienergy interaction characteristic of regional integrated energy systems can greatly improve the efficiency of energy utilization. This paper proposes an energy prediction strategy for multienergy information interaction in regional integrated energy systems from the perspective of horizontal interaction and vertical interaction. Firstly, the multienergy information coupling correlation of the regional integrated energy system is analyzed, and the horizontal interaction and vertical interaction mode are proposed. Then, based on the long short\u2010term memory depth neural network time series prediction, parallel long short\u2010term memory multitask learning model is established to achieve horizontal interaction among multienergy systems and based on user\u2010driven behavioral data to achieve vertical interaction between source and load. Finally, uncertain resources composed of wind power, photovoltaic, and various loads on both sides of source and load integrated energy prediction are achieved. The simulation results of the measured data show that the interactive parallel prediction method proposed in this article can effectively improve the prediction effect of each subtask.<\/jats:p>","DOI":"10.1155\/2019\/7414318","type":"journal-article","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T23:30:45Z","timestamp":1574465445000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":86,"title":["Parallel LSTM\u2010Based Regional Integrated Energy System Multienergy Source\u2010Load Information Interactive Energy Prediction"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2694-8345","authenticated-orcid":false,"given":"Bo","family":"Wang","sequence":"first","affiliation":[]},{"given":"Liming","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Hengrui","family":"Ma","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3675-9783","authenticated-orcid":false,"given":"Hongxia","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7013-9081","authenticated-orcid":false,"given":"Shaohua","family":"Wan","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,11,22]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2010.2081330"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2015.10.036"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.05.134"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/mis.2017.3121551"},{"key":"e_1_2_11_5_2","first-page":"2003","article-title":"From industry 4.0 to energy 5.0: the concept, connotation and system framework of intelligent energy systems","volume":"41","author":"Deng J.","year":"2015","journal-title":"Journal of Automation"},{"key":"e_1_2_11_6_2","doi-asserted-by":"publisher","DOI":"10.1186\/s41601-017-0035-3"},{"key":"e_1_2_11_7_2","doi-asserted-by":"publisher","DOI":"10.1186\/s41601-017-0041-5"},{"key":"e_1_2_11_8_2","doi-asserted-by":"publisher","DOI":"10.1186\/s41601-016-0016-y"},{"key":"e_1_2_11_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2019.111799"},{"key":"e_1_2_11_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.08.108"},{"key":"e_1_2_11_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2019.2913176"},{"key":"e_1_2_11_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.01.010"},{"key":"e_1_2_11_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.03.098"},{"key":"e_1_2_11_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2753802"},{"key":"e_1_2_11_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.04.064"},{"key":"e_1_2_11_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2019.2906925"},{"key":"e_1_2_11_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.11.030"},{"key":"e_1_2_11_18_2","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwx105"},{"key":"e_1_2_11_19_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5040-8"},{"key":"e_1_2_11_20_2","first-page":"75","article-title":"Multitask sparsity via maximum entropy discrimination","volume":"12","author":"Jebara T.","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_2_11_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-019-00684-y"},{"key":"e_1_2_11_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.106861"},{"key":"e_1_2_11_23_2","doi-asserted-by":"publisher","DOI":"10.13334\/j.0258-8013.pcsee.152858"},{"key":"e_1_2_11_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.04.095"},{"key":"e_1_2_11_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2014.2326411"},{"key":"e_1_2_11_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2012.03.013"},{"key":"e_1_2_11_27_2","article-title":"A critical review of recurrent neural networks for sequence learning","author":"Lipton Z. C.","year":"2015","journal-title":"CoRR"},{"key":"e_1_2_11_28_2","doi-asserted-by":"crossref","unstructured":"SainathT. N. VinyalsO. SeniorA. andSakH. Convolutional long short-term memory fully connected deep neural networks Proceedings of the 2015 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) April 2015 Brisbane Australia IEEE 4580\u20134584 https:\/\/doi.org\/10.1109\/ICASSP.2015.7178838 2-s2.0-84946037134.","DOI":"10.1109\/ICASSP.2015.7178838"},{"key":"e_1_2_11_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/3295822"},{"key":"e_1_2_11_30_2","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_2_11_31_2","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"e_1_2_11_32_2","doi-asserted-by":"crossref","unstructured":"SeltzerM. L.andDroppoJ. Multi-task learning in deep neural networks for improved phoneme recognition Proceedings of the 2013 IEEE International Conference on Acoustics Speech and Signal Processing May 2013 Vancouver Canada IEEE 6965\u20136969 https:\/\/doi.org\/10.1109\/ICASSP.2013.6639012 2-s2.0-84890545600.","DOI":"10.1109\/ICASSP.2013.6639012"},{"key":"e_1_2_11_33_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.08.007"},{"key":"e_1_2_11_34_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.12.039"},{"key":"e_1_2_11_35_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2011.10.015"},{"key":"e_1_2_11_36_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2019.01.008"},{"key":"e_1_2_11_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2019.2911669"},{"key":"e_1_2_11_38_2","doi-asserted-by":"crossref","unstructured":"WuW. ChenK. QiaoY. andLuZ. Probabilistic short-term wind power forecasting based on deep neural networks Proceedings of the 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) October 2016 Beijing China 1\u20138 https:\/\/doi.org\/10.1109\/PMAPS.2016.7764155 2-s2.0-85015206398.","DOI":"10.1109\/PMAPS.2016.7764155"},{"key":"e_1_2_11_39_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2014.07.064"},{"key":"e_1_2_11_40_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.03.042"},{"key":"e_1_2_11_41_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.10.010"},{"key":"e_1_2_11_42_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.07.070"},{"key":"e_1_2_11_43_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.02.051"},{"key":"e_1_2_11_44_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-019-02127-y"},{"key":"e_1_2_11_45_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-019-03011-4"},{"key":"e_1_2_11_46_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2018.2859346"},{"key":"e_1_2_11_47_2","doi-asserted-by":"publisher","DOI":"10.3390\/s17092059"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/7414318.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/7414318.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2019\/7414318","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T14:27:02Z","timestamp":1723040822000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2019\/7414318"}},"subtitle":[],"editor":[{"given":"Xiaoqing","family":"Bai","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":47,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["10.1155\/2019\/7414318"],"URL":"https:\/\/doi.org\/10.1155\/2019\/7414318","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1]]},"assertion":[{"value":"2019-07-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-10-17","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-11-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"7414318"}}