YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • ASME Journal of Engineering for Sustainable Buildings and Cities
    • View Item
    •   YE&T Library
    • ASME
    • ASME Journal of Engineering for Sustainable Buildings and Cities
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Moroccan Consumer Energy Consumption Itemsets and Inter-Appliance Associations Using Machine Learning Algorithms and Data Mining Techniques

    Source: ASME Journal of Engineering for Sustainable Buildings and Cities:;2023:;volume( 004 ):;issue: 001::page 11004-1
    Author:
    Abassi, Abdelfattah
    ,
    Arid, Ahmed
    ,
    Benazza, Hussain
    DOI: 10.1115/1.4062113
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The study aims to analyze the patterns of home appliance use and energy consumption among Moroccan consumers using the MORED dataset. Machine learning algorithms and data mining techniques are applied to understand consumer behavior in terms of energy usage. The results provide insights into the inter-appliance association and peak hours, which will be used to design an Energy Demand Management System (EDMS) for Moroccan buildings in the future. The purpose of this research is to support the development of an effective EDMS and to encourage end-user involvement in energy management in Morocco.
    • Download: (795.7Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Moroccan Consumer Energy Consumption Itemsets and Inter-Appliance Associations Using Machine Learning Algorithms and Data Mining Techniques

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4292199
    Collections
    • ASME Journal of Engineering for Sustainable Buildings and Cities

    Show full item record

    contributor authorAbassi, Abdelfattah
    contributor authorArid, Ahmed
    contributor authorBenazza, Hussain
    date accessioned2023-08-16T18:36:15Z
    date available2023-08-16T18:36:15Z
    date copyright4/3/2023 12:00:00 AM
    date issued2023
    identifier issn2642-6641
    identifier otherjesbc_4_1_011004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292199
    description abstractThe study aims to analyze the patterns of home appliance use and energy consumption among Moroccan consumers using the MORED dataset. Machine learning algorithms and data mining techniques are applied to understand consumer behavior in terms of energy usage. The results provide insights into the inter-appliance association and peak hours, which will be used to design an Energy Demand Management System (EDMS) for Moroccan buildings in the future. The purpose of this research is to support the development of an effective EDMS and to encourage end-user involvement in energy management in Morocco.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMoroccan Consumer Energy Consumption Itemsets and Inter-Appliance Associations Using Machine Learning Algorithms and Data Mining Techniques
    typeJournal Paper
    journal volume4
    journal issue1
    journal titleASME Journal of Engineering for Sustainable Buildings and Cities
    identifier doi10.1115/1.4062113
    journal fristpage11004-1
    journal lastpage11004-10
    page10
    treeASME Journal of Engineering for Sustainable Buildings and Cities:;2023:;volume( 004 ):;issue: 001
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian