Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization
المؤلف | Sayed, Aya |
المؤلف | Alsalemi, Abdullah |
المؤلف | Himeur, Yassine |
المؤلف | Bensaali, Faycal |
المؤلف | Amira, Abbes |
تاريخ الإتاحة | 2022-12-29T07:34:46Z |
تاريخ النشر | 2022 |
اسم المنشور | Smart Innovation, Systems and Technologies |
المصدر | Scopus |
الملخص | Accrediting the fast economic growth and the enhancement of people's live standards, the overall household's energy consumption is becoming more and more substantial. Thus, the need of conserving energy is becoming a critical task to help preserve energy resources and slow down climate change, which in turn, protects the environment. The development of an Internet of Things (IoT) system to monitor the consumer's power consumption behavior and provides energy saving recommendation at a timely manner can be advantageous to shape the user's energy saving habits. In this paper, we integrate the (EM)3 framework into a local IoT platform named Home-Assistant to help centralize all the connected sensors. Additionally, two smart plug systems are proposed to be part of the (EM)3 ecosystem. The plugs are employed to collect appliances energy consumption data as well as having home automation capabilities. Through Home-Assistant User Interface (UI), end-users can visualize their consumption trends together with ambient environmental data. The comparative analysis performed demonstrates great potential and highlights areas of future work focusing on integrating more sensing systems into the developed platform for the sake of enriching the existing database. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
راعي المشروع | Acknowledgements This paper was made possible by National Priorities Research Program (NPRP) grant No. 10-0130-170288 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
اللغة | en |
الناشر | Springer Science and Business Media Deutschland GmbH |
الموضوع | Big data Data visualization Energy efficiency Home-Assistant Internet of energy Sensing system Smart plug |
النوع | Conference Paper |
الصفحات | 603-617 |
رقم المجلد | 237 |
الملفات في هذه التسجيلة
الملفات | الحجم | الصيغة | العرض |
---|---|---|---|
لا توجد ملفات لها صلة بهذه التسجيلة. |
هذه التسجيلة تظهر في المجموعات التالية
-
الهندسة الكهربائية [2616 items ]