دورية أكاديمية

Perspective-smart energy management system using machine learning

التفاصيل البيبلوغرافية
العنوان: Perspective-smart energy management system using machine learning
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
الوصف
تدمد:22671242
DOI:10.1051/e3sconf/202454008007