Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
المؤلف | Sardianos, Christos |
المؤلف | Varlamis, Iraklis |
المؤلف | Chronis, Christos |
المؤلف | Dimitrakopoulos, George |
المؤلف | Himeur, Yassine |
المؤلف | Alsalemi, Abdullah |
المؤلف | Bensaali, Faycal |
المؤلف | Amira, Abbes |
تاريخ الإتاحة | 2022-12-29T07:34:42Z |
تاريخ النشر | 2020 |
اسم المنشور | Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020 |
المصدر | Scopus |
الملخص | Energy conservation is a critical task for domestic households and office buildings, mainly because of the shortage of energy resources and the uprising contemporary environmental issues. The development of an IoT ecosystem that monitors energy consumption habits and timely recommends actions to promote energy efficiency can be beneficial for the mainstream. In this work, we present the EM3 project, which combines data collection, information abstraction, timed recommendations for saving actions and automations that promote energy saving in a household or office setup. The article focuses on the data and information processing aspects of the EM3 solution, which efficiently handles thousands of sensor events on a daily basis and provides useful analytics and recommendations to the end user to support habit change. 2020 IEEE. |
راعي المشروع | 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 | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | big data collection habit change information abstraction information processing timed recommendations |
النوع | Conference Paper |
الصفحات | 96-103 |
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