Intelligent Optimization of High Energy Consumption Processes :: Special Issue

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style="text-align:justify;"> <div style="padding-bottom:10px;">Operation optimization of high energy consumption production process in continuous industry is an important technical means to achieve energy saving and emission reduction, as well as quality rising and efficiency improvement. However, the complexity of continuous industry creates many difficulties in operation optimization of high energy consumption production process. For example, the complicated physical and chemical reactions, the large lag from distribution to tapping, the lack of detection means and the strong coupling of process index parameters in blast furnace, which seriously restrict the modeling and prediction of key process quality index and process operation optimization; In the high energy consumption process of papermaking and pulping, the multi-source heterogeneous data problem caused by multi-stage pulping creates difficulties for in-time operation optimization; In addition, there are some problems in the continuous industry, such as information island, decentralized management, difficult to solidify and share operation knowledge. It is necessary to build an industrial cloud platform to realize the software component and sharing reuse of operation optimization knowledge in high energy consumption production processes.</div> <div style="padding-bottom:10px;">The primary goal of this special issue is to bring together researchers, scholars, and engineers to share their knowledge, experiences and research on the intelligent optimization of high energy consumption processes. </div> <p style="padding-bottom:5px;margin-top: 10px;font-weight: bold;margin-block-end: 0;">The specific focus of the issue will include but not limited to:</p> <ol style="margin:0; padding:0px; list-style:none;"> <li> • Multi-objective optimization algorithms </li> <li> • Fault diagnosis </li> <li> • Intelligent modeling </li> <li> • Data mining techniques for industrial big data </li> <li> • Operation optimization methods </li> <li> • High energy consumption analysis </li> <li> • Applications of machine learning in industries </li> <li> • Cloud computing platform for industrial process </li> </ol> <div style="padding-bottom:10px;">Types of articles welcomed: Original research articles, review articles, case studies, etc.</div> <div style="padding-bottom:10px;">Through this special issue, we aim to provide a comprehensive overview of the latest advancements in industrial optimization. We welcome researchers from various disciplines to provide interdisciplinary perspectives on modeling, controlling, and optimizing for industrial processes. Your contributions will play a crucial role in advancing knowledge in this field.</div> </div> </div> </div> <div class="color_bg_blue"> <div class="content"> <div class="second_title"> Lead Guest Editor </div> <ul class="guest_ul clearfix"> <li class="lead_guest_li clearfix"> <div class="special_editor"> <p> <span class="name"> <span>Heng Zhou</span> </span> </p> <p class="institution">Department of Computer and Information Science and Engineering, University of Florida, Gainesville, United States</p> </div> </li> </ul> <div style="height: 30px;"></div> <div class="second_title"> Guest Editors </div> <ul class="guest_ul clearfix"> <li class="guest_li clearfix "> <div class="special_editor"> <p> <span class="name"> <span>Yue Yu</span> </span> </p> <p class="institution">Department of Computer and Information Science and Engineering, University of Florida, Gainesville, United States</p> </div> </li> <li class="guest_li clearfix double_box"> <div class="special_editor"> <p> <span class="name"> <span>Zhenyu Wang</span> </span> </p> <p class="institution">Department of Computer and Information Science and Engineering, University of Florida, Gainesville, United States</p> </div> </li> <li class="guest_li clearfix "> <div class="special_editor"> <p> <span class="name"> <span>Lingze Wei</span> </span> </p> <p class="institution">Department of Chemical Engineering, Stanford University, Stanford, United States</p> </div> </li> <li class="guest_li clearfix double_box"> <div class="special_editor"> <p> <span class="name"> <span>Xiongzhuo Zhu</span> </span> </p> <p class="institution">College of Control Science and Engineering, Zhejiang University, Hangzhou, China</p> </div> </li> <li class="guest_li clearfix "> <div class="special_editor"> <p> <span class="name"> <span>Junfang Li</span> </span> </p> <p class="institution">Industry Solution R&D Section One, Alibaba Cloud Computing Co. Ltd., Hangzhou, China</p> </div> </li> <li class="guest_li clearfix double_box"> <div class="special_editor"> <p> <span class="name"> <span>Xiaoke Huang</span> </span> </p> <p class="institution">College of Control Science and Engineering, Zhejiang University, Hangzhou, China</p> </div> </li> </ul> </div> </div> <div class="modal fade" id="downloadValidationModal" tabindex="-1" aria-labelledby="exampleModalScrollableTitle" aria-hidden="true"> <div class="modal-dialog modal-dialog-scrollable modal-lg modal-dialog-centered"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title">Verification Code</h5> <button type="button" class="close" data-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <div class="modal-body"> <div class="code_item"> <input type="hidden" id="downloadValidationVisitId" value="053bf8a7-c723-428a-b5e4-1520a03608ab"> <input type="hidden" id="downloadValidationUrl" 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Intelligent Optimization of High Energy Consumption Processes :: Special Issue :: Science Publishing Group