{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T11:41:39Z","timestamp":1782301299757,"version":"3.54.5"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1109\/access.2025.3594024","type":"journal-article","created":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T18:52:04Z","timestamp":1753901524000},"page":"136656-136670","source":"Crossref","is-referenced-by-count":2,"title":["Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC"],"prefix":"10.1109","volume":"13","author":[{"given":"Zhipeng","family":"Li","sequence":"first","affiliation":[{"name":"Digital Business Division, State Grid Gansu Electric Power Company, Lanzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaobo","family":"Liu","sequence":"additional","affiliation":[{"name":"Digital Business Division, State Grid Gansu Electric Power Company, Lanzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Digital Communication Department, State Grid Gansu Electric Power Company, Wuwei Power Supply Company, Wuwei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaowei","family":"Wang","sequence":"additional","affiliation":[{"name":"Power Dispatch Center, State Grid Wuwei Power Supply Company, Wuwei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0807-7086","authenticated-orcid":false,"given":"Lu","family":"Wang","sequence":"additional","affiliation":[{"name":"Smart Energy Business Division, Gansu Tongxing Intelligent Technology Development Company Ltd., Lanzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Huang","sequence":"additional","affiliation":[{"name":"Marketing Division, Gansu Tongxing Intelligent Technology Development Company Ltd., Lanzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"issue":"8","key":"ref1","first-page":"1367","article-title":"Evaluation and ensemble learning of remote sensing land-cover products in the Hohhot-Baotou-Ordos-Yulin urban agglomeration","volume":"47","author":"Xia","year":"2024","journal-title":"Arid Land Geogr."},{"issue":"1","key":"ref2","first-page":"106","article-title":"Regional short-term load forecasting based on cluster identification and convolutional neural network-bi-directional long short-term memory-temporal pattern attention","volume":"41","author":"Chen","year":"2024","journal-title":"Mod. Electr. Power"},{"issue":"5","key":"ref3","first-page":"893","article-title":"Temporal convolution neural network model for simulation of site seismic effect","volume":"46","author":"Hu","year":"2024","journal-title":"Acta Seismol. Sin."},{"issue":"1","key":"ref4","first-page":"67","article-title":"Short-term household load forecasting based on state frequency memory network","volume":"40","author":"Bu","year":"2023","journal-title":"Mod. Electr. Power"},{"issue":"5","key":"ref5","first-page":"46","article-title":"Transformer fault diagnosis method based on voiceprint feature and ensemble learning","volume":"42","author":"Lu","year":"2023","journal-title":"Electr. Power Eng. Technol."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-023-05535-2"},{"issue":"1","key":"ref7","first-page":"117","article-title":"A load regulation method considering optimal consumer side benefits in smart grid","volume":"40","author":"Wang","year":"2023","journal-title":"Mod. Electr. Power"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tsg.2022.3191734"},{"issue":"1","key":"ref9","first-page":"50","article-title":"An improved power load forecasting method based on transformer","volume":"40","author":"Huang","year":"2023","journal-title":"Mod. Electr. Power"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.37188\/co.2024-0079"},{"issue":"11","key":"ref11","first-page":"90","article-title":"Application of convolutional neural networks in intelligent recognition of fault fracture zones","volume":"41","author":"Sun","year":"2024","journal-title":"J. Railw. Eng. Soc."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2023.2269565"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.32604\/cmes.2024.058202"},{"issue":"4","key":"ref14","first-page":"483","article-title":"Mid-long term power load forecasting based variable selection and transformer model","volume":"51","author":"Huang","year":"2024","journal-title":"J. Zhejiang Univ. Sci. Ed."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2022.3157927"},{"issue":"5","key":"ref16","first-page":"157","article-title":"Post-earthquake damage assessment for RC frame communication buildings based on convolutional neural network","volume":"33","author":"Mao","year":"2024","journal-title":"J. Nat. Disasters"},{"issue":"20","key":"ref17","doi-asserted-by":"crossref","first-page":"153","DOI":"10.54254\/2755-2721\/57\/20241326","article-title":"Research on Chinese irony recognition by integrating BERT and bidirectional long short-term memory networks","volume":"60","author":"Wang","year":"2024","journal-title":"Comput. Eng. Appl."},{"issue":"12","key":"ref18","first-page":"52","article-title":"Construction of a knowledge graph for reusable spinning processes based on bidirectional long short-term memory networks","volume":"61","author":"Hu","year":"2024","journal-title":"J. Silk"},{"issue":"20","key":"ref19","first-page":"3974","article-title":"Oat plant height estimation based on a dual output regression convolutional neural network","volume":"57","author":"Zhang","year":"2024","journal-title":"Sci. Agric. Sin."},{"issue":"5","key":"ref20","first-page":"255","article-title":"Land cover classification and forecasting based on multiple classifier ensemble learning","volume":"48","author":"Jiang","year":"2024","journal-title":"J. Nanjing For. Univ. (Nat. Sci. Ed.)"},{"issue":"8","key":"ref21","first-page":"1570","article-title":"Landslide susceptibility forecasting based on non-landslide samples selection and heterogeneous ensemble machine learning","volume":"25","author":"Zhou","year":"2023","journal-title":"J. Geo-Inf. Sci."},{"issue":"9","key":"ref22","first-page":"2613","article-title":"Identification for different growth years of Plastrum Testudinis via hyperspectral imaging technique and heterogeneous ensemble learning","volume":"44","author":"Wei","year":"2024","journal-title":"Spectrosc. Spectral  Anal."},{"issue":"3","key":"ref23","first-page":"441","article-title":"Line loss anomaly identification of low-voltage station based on second-order clustering and robust random cut forest algorithm","volume":"41","author":"Liu","year":"2024","journal-title":"Mod. Electr. Power"},{"issue":"12","key":"ref24","first-page":"2228","article-title":"Time-domain speech separation based on a fully convolutional neural network with multitask learning","volume":"40","author":"Sun","year":"2024","journal-title":"J. Signal Process."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.47852\/bonviewaia3202441"},{"issue":"8","key":"ref26","first-page":"1576","article-title":"Monitoring method for shield tunneling operations based on a double-layer long short-term memory network","volume":"44","author":"Liu","year":"2024","journal-title":"Tunnel  Constr."},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.11834\/jrs.20210504"},{"issue":"2","key":"ref28","first-page":"745","article-title":"Short-term sea surface temperature forecasts for the equatorial Pacific based on long short-term memory network","volume":"48","author":"Zhang","year":"2024","journal-title":"Chin. J. Atmos. Sci."},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s42524-023-0273-1"},{"issue":"3","key":"ref30","first-page":"372","article-title":"Distributed denial of service attack identification method of demand response based on improved long and short-term memory network","volume":"40","author":"Li","year":"2023","journal-title":"Mod. Electr. Power"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2024.02.004"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11104123.pdf?arnumber=11104123","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T04:46:40Z","timestamp":1754628400000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11104123\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3594024","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}