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    Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 001
    Author(s): John E. Taylor; Mario Bergés
    Publisher: American Society of Civil Engineers
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    Domain-Specific Querying Formalisms for Retrieving Information about HVAC Systems 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 001
    Author(s): Xuesong Liu; Burcu Akinci; Mario Bergés; James H. Garrett Jr.
    Publisher: American Society of Civil Engineers
    Abstract: In order to save energy and improve the control of indoor environments, researchers have developed hundreds of computer algorithms that can automatically and continuously analyze the conditions of HVAC systems. However, ...
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    User-Centered Nonintrusive Electricity Load Monitoring for Residential Buildings 

    Source: Journal of Computing in Civil Engineering:;2011:;Volume ( 025 ):;issue: 006
    Author(s): Mario Berges; Ethan Goldman; H. Scott Matthews; Lucio Soibelman; Kyle Anderson
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a nonintrusive electricity load-monitoring approach that provides feedback on the energy consumption and operational schedule of electrical appliances in a residential building. This approach utilizes ...
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    Data-Fusion Approaches and Applications for Construction Engineering 

    Source: Journal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 010
    Author(s): Seyed Mohsen Shahandashti; Saiedeh N. Razavi; Lucio Soibelman; Mario Berges; Carlos H. Caldas; Ioannis Brilakis; Jochen Teizer; Patricio A. Vela; Carl Haas; James Garrett; Burcu Akinci; Zhenhua Zhu
    Publisher: American Society of Civil Engineers
    Abstract: Data fusion can be defined as the process of combining data or information for estimating the state of an entity. Data fusion is a multidisciplinary field that has several benefits, such as enhancing the confidence, improving ...
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    Sensing and Field Data Capture for Construction and Facility Operations 

    Source: Journal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 010
    Author(s): Saurabh Taneja; Burcu Akinci; James H. Garrett; Lucio Soibelman; Esin Ergen; Anu Pradhan; Pingbo Tang; Mario Berges; Guzide Atasoy; Xuesong Liu; Seyed Mohsen Shahandashti; Engin Burak Anil
    Publisher: American Society of Civil Engineers
    Abstract: Collection of accurate, complete, and reliable field data is not only essential for active management of construction projects involving various tasks, such as material tracking, progress monitoring, and quality assurance, ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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