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This paper presents the design and implementation of a small scale mobile Energy Management System (EMS), for the optimized use of different energy sources, resulting in the most appropriate energy source being selected to charge a bank of batteries, which are being used to provide DC power to an emergency aid deployment in a remote location. The mobile EMS, utilizes a Raspberry Pi, a popular small scale computing device, with some peripheral devices attached and Python. The experimental simulation suggests a small emergency aid team deployment to a disaster area where local infrastructure may not be available, is possible. This proposed mobile EMS solution is small, lightweight, highly transportable and can be connected to any mobile device, and employed in any nomadic infrastructure for disaster management or for any other general purpose use.
| Iaith wreiddiol | Saesneg |
|---|---|
| Teitl | 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 |
| Cyhoeddwr | Institute of Electrical and Electronics Engineers Inc. |
| Tudalennau | 139-143 |
| Nifer y tudalennau | 5 |
| ISBN (Electronig) | 9781538646625 |
| Dynodwyr Gwrthrych Digidol (DOIs) | |
| Statws | Cyhoeddwyd - 21 Meh 2018 |
| Cyhoeddwyd yn allanol | Ie |
| Digwyddiad | 17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 - Bilbao, Sbaen Hyd: 18 Rhag 2017 → 20 Rhag 2017 |
Cyfres gyhoeddiadau
| Enw | 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 |
|---|
Cynhadledd
| Cynhadledd | 17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 |
|---|---|
| Gwlad/Tiriogaeth | Sbaen |
| Dinas | Bilbao |
| Cyfnod | 18/12/17 → 20/12/17 |
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