{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T21:24:06Z","timestamp":1766697846588,"version":"3.37.3"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022A1515011521"],"award-info":[{"award-number":["2022A1515011521"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["KQTD20190929172545139","GXWD20231130153844002"],"award-info":[{"award-number":["KQTD20190929172545139","GXWD20231130153844002"]}]},{"name":"Open Fund of Laboratory of Aerospace Servo Actuation and Transmission"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tii.2024.3413312","type":"journal-article","created":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T21:08:26Z","timestamp":1719522506000},"page":"11806-11814","source":"Crossref","is-referenced-by-count":1,"title":["Operational Hybrid Neural Network Model for NO$_{x}$ Forecast and Control in Real-World 2-GW Coal-Fired Power Plant"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2457-8264","authenticated-orcid":false,"given":"Yinghao","family":"Chu","sequence":"first","affiliation":[{"name":"City University of Hong Kong, Kowloon Tong, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6469-5281","authenticated-orcid":false,"given":"Xiaogang","family":"Xiong","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology Shenzhen, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8203-7795","authenticated-orcid":false,"given":"Yunjiang","family":"Lou","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology Shenzhen, Shenzhen, China"}]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[{"name":"IHI Corporation, Tokyo, Japan"}]},{"given":"Liwu","family":"Duan","sequence":"additional","affiliation":[{"name":"Shanghai AINO Industrial Technology Limited, Shanghai, China"}]},{"given":"Yingjie","family":"He","sequence":"additional","affiliation":[{"name":"Dlang.ai Company, Ltd., Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.124884"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.joei.2017.07.009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41560-019-0468-1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/121\/5\/052025"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.joei.2020.07.002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2015.02.030"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.pecs.2009.11.003"},{"issue":"3","key":"ref9","first-page":"276","article-title":"Fly-ash concentration model for a utility pulverized coal-fired boiler","volume":"18","author":"Xuan","year":"2003","journal-title":"J. Eng. Thermal Energy Power"},{"key":"ref10","first-page":"537","article-title":"Prediction and monitoring of unburnt carbon in fly ash in coal-fired power plant","volume-title":"Proc. Int. Conf. Model. Simul.","author":"Saptoro","year":"2006"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph15040780"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2010.12.002"},{"issue":"4","key":"ref13","first-page":"587","article-title":"Forecasting model for mercury emission by coal-fired power plants","volume":"25","author":"Ren","year":"2005","journal-title":"Power Eng."},{"issue":"6","key":"ref14","first-page":"15","article-title":"Forecasting the distribution of mercury speciation in coal-fired flue gas based on neural networks","volume":"23","author":"Wu","year":"2007","journal-title":"Power Syst. Eng."},{"issue":"7","key":"ref15","article-title":"Application of the hybrid SPSS-PSO-SVM model in NOx emission forecast of the plant","volume":"33","author":"Bu","year":"2017","journal-title":"Electric Power Sci. Eng."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/APPEEC.2013.6837281"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CSCWD49262.2021.9437888"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1063\/1.5066994"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1624\/5\/052021"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2008.2011621"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2015.11.323"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.03.075"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/YAC.2017.7967552"},{"key":"ref24","first-page":"619","article-title":"Artificial intelligence treatment of NOX emissions from CFBC in air and oxy-fuel conditions","volume-title":"Proc. 11th Int. Conf. Fluidized Bed Technol.","author":"Krzywanski","year":"2014"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2020.119748"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2023.127044"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2012.04.004"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2015.01.024"},{"issue":"1","key":"ref31","first-page":"82","article-title":"Pridiction of NOx concentration at the inlet of SCR denitration system of utility boiler based on bidirectional deep learning","volume":"36","author":"Wang","year":"2021","journal-title":"Autom. Instrum."}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/10706993\/10574877.pdf?arnumber=10574877","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T17:52:25Z","timestamp":1728409945000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10574877\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":31,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tii.2024.3413312","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"type":"print","value":"1551-3203"},{"type":"electronic","value":"1941-0050"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}