دورية أكاديمية
Perspective-smart energy management system using machine learning
العنوان: | Perspective-smart energy management system using machine learning |
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المؤلفون: | Balmiki Vinod, C Santhosh Kumar, Sharma Praveen, Fezaa Laith H.A., Almusawi Muntather, Lakumanan M. |
المصدر: | E3S Web of Conferences, Vol 540, p 08007 (2024) |
بيانات النشر: | EDP Sciences, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Environmental sciences |
مصطلحات موضوعية: | machine learning, smart home, energy management, Environmental sciences, GE1-350 |
الوصف: | In today’s rapidly evolving world, the demand for energy is steadily increasing, while the need for sustainability and efficient resource utilization becomes ever more critical. Smart Energy Management Systems (SEMS) are poised to play a pivotal role in addressing these challenges. Leveraging the power of Machine Learning (ML), SEMS offer a promising avenue to optimize energy consumption, enhance grid reliability, and reduce carbon footprints. This review article provides an in-depth exploration of the current state of Smart Energy Management Systems empowered by Machine Learning, highlighting their key components, applications, challenges, and future prospects. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English French |
تدمد: | 2267-1242 |
Relation: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/70/e3sconf_icpes2024_08007.pdf; https://doaj.org/toc/2267-1242 |
DOI: | 10.1051/e3sconf/202454008007 |
URL الوصول: | https://doaj.org/article/8e605cf4576149d8ae7274f908eecbe1 |
رقم الأكسشن: | edsdoj.8e605cf4576149d8ae7274f908eecbe1 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 22671242 |
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DOI: | 10.1051/e3sconf/202454008007 |