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dc.contributor.authorDagne, Teshome Bekele
dc.contributor.authorWang, Kung-Jeng
dc.contributor.authorNguyen, Hong-Phuc
dc.date.accessioned2026-08-20T11:17:14Z
dc.date.available2026-08-20T11:17:14Z
dc.date.copyright2025/10/06
dc.date.issued2025
dc.identifier.otherJLEED9.EYENG-6039.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311972
dc.description.abstractAbstractOptimization control for energy conservation adapting to environmental dynamics in manufacturing systems is critical. A novel data-driven stochastic optimization control model of an air conditioning system against outside air temperature and ...Practical ApplicationsFor factory managers and operations teams, optimizing energy use in manufacturing is a constant challenge, especially with fluctuating outside temperatures and the heat generated by internal processes. Traditional air conditioning [...
dc.publisherAmerican Society of Civil Engineers
dc.titleA Data-Driven Stochastic Optimization Model for Energy Conservation of Industrial Air Conditioning Systems
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue6
dc.journal.titleJournal of Energy Engineering
dc.identifier.doi10.1061/JLEED9.EYENG-6039
dc.journal.fristpage04025077-1
dc.journal.lastpage04025077-14
dc.page14
dc.treeJournal of Energy Engineering:;2025:;Volume ( 151 ):;issue: 006
dc.contenttypeFulltext


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