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    Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions

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    Date
    2022
    Author
    Himeur, Yassine
    Alsalemi, Abdullah
    Bensaali, Faycal
    Amira, Abbes
    Al-Kababji, Ayman
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    Abstract
    Smart nonintrusive load monitoring (NILM) represents a cost-efficient technology for observing power usage in buildings. It tackles several challenges in transitioning into a more effective, sustainable, and digital energy efficiency environment. This paper presents a comprehensive review of recent trends in the NILM field, in which we propose a multiperspective classification of existing smart NILM techniques. More attention is devoted to describing the contributions of deep learning, feature extraction, computing platforms, and application scenarios for NILM development. Accordingly, NILM technical aspects are first investigated, including data collection devices and public data sets. Next, event-based and non-event-based NILM algorithms are overviewed. Furthermore, potential limitations of existing solutions are identified, highlighting their technical challenges, especially those related to security and privacy preservation, data scarcity, results reproduction, and implementation and business difficulties. Lastly, future directions are explored to overcome the identified limitations. 2022 Wiley Periodicals LLC.
    DOI/handle
    http://dx.doi.org/10.1002/int.22876
    http://hdl.handle.net/10576/37838
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    • Electrical Engineering [‎2840‎ items ]

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