Research Article
Wireless Sensors Solution for Energy Monitoring, Analyzing, Controlling and Predicting
@INPROCEEDINGS{10.1007/978-3-642-23583-2_1, author={Marius Marcu and Cristina Stangaciu and Alexandru Topirceanu and Daniel Volcinschi and Valentin Stangaciu}, title={Wireless Sensors Solution for Energy Monitoring, Analyzing, Controlling and Predicting}, proceedings={Sensor Systems and Software. Second International ICST Conference, S-Cube 2010, Miami, FL, USA, December 13-15, 2010, Revised Selected Papers}, proceedings_a={S-CUBE}, year={2012}, month={5}, keywords={power consumption power characterization power profiles power signatures wireless sensors network}, doi={10.1007/978-3-642-23583-2_1} }- Marius Marcu
Cristina Stangaciu
Alexandru Topirceanu
Daniel Volcinschi
Valentin Stangaciu
Year: 2012
Wireless Sensors Solution for Energy Monitoring, Analyzing, Controlling and Predicting
S-CUBE
Springer
DOI: 10.1007/978-3-642-23583-2_1
Abstract
The work presented in this paper addresses the problem of energy wastes through irresponsible usage of computers or electrical devices, as well as wastes encouraged by companies or firms that do not implement any kind of power awareness plan. It is meant to help increase the power usage efficiency in the locations it is installed, by completing an extensive survey of power usage patterns over a short period, and then presenting clear expressive power consumption results of the monitored location, together with recommendations of action plans that would save energy if applied. Based on the consumption analysis, studying energetically profiles for different electrical devices, prediction of power consume and savings can be made. We propose a new wireless sensor network solution that can be used to profile power consumption of both electric power connected devices and battery-powered devices running different applications. The proposed solution offers a better and easier way to monitor the energy each of the target devices, and get real time feedback on the effect of different usage patterns applied to target devices.
