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contributor authorDagne, Teshome Bekele
contributor authorWang, Kung-Jeng
contributor authorNguyen, Hong-Phuc
date accessioned2026-08-20T11:17:14Z
date available2026-08-20T11:17:14Z
date copyright2025/10/06
date issued2025
identifier otherJLEED9.EYENG-6039.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311972
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 [...
publisherAmerican Society of Civil Engineers
titleA Data-Driven Stochastic Optimization Model for Energy Conservation of Industrial Air Conditioning Systems
typeJournal Article
journal volume151
journal issue6
journal titleJournal of Energy Engineering
identifier doi10.1061/JLEED9.EYENG-6039
journal fristpage04025077-1
journal lastpage04025077-14
page14
treeJournal of Energy Engineering:;2025:;Volume ( 151 ):;issue: 006
contenttypeFulltext


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