Abstract
Mobile devices are powered by batteries whose capacities are limited by size, so efficient management of energy becomes a very important issue in such devices. Many solutions have been proposed seeking to extend mobile device's battery life, but there are only a few who takes the user as a decisive and determining factor. Only the user determines how to consume battery's energy. Therefore the proposed application aims to solve this issue by learning about user's context. By analyzing this information, automated actions are performed in order to optimize energy consumption.
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