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Redefining Micro-Moments for Improving Energy Behaviour: The SIT4Energy Approach

机译:重新定义微矩以改善能量行为:SIT4ENERGY方法

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The critical deterioration of the environment in recent years has led to an increasing urgency of minimizing energy consumption. As residential and tertiary buildings hold a significant potential in terms of energy savings a lot of different approaches have been followed to not only reduce energy consumption but also change energy-related occupant behaviour for long-term results. Taking into account recommendation services through mobile applications, this paper proposes a more dynamic and occupant-centered solution, which not only offers useful energy related recommendations, but also adjusts the moment the recommendation is sent to maximize the receptiveness of the user in order to achieve the optimal energy behavior change. These moments are redefined micro-moments in terms of energy behavior change and occur when three factors' conditions coincide, the location, the physical and the mobile activity of the user. We develop a mobile application which can monitor them and detect a potential micro-moment, when a notification could be pushed to the user. The location is periodically collected from the device's sensors, the physical activity is inferred with the use of Google Activity Recognition API, while the mobile activity is inferred utilizing mobile event triggers and usage statistics. The experimental results show that our dynamic approach is justified, since the micro-moments are highly unpredictable and user-specific.
机译:近年来环境的危重恶化导致了最大限度地减少能源消耗的紧迫性。由于住宅和三级建筑物在节能方面持有显着潜力,因此不仅会降低能源消耗,而且还可以改变能源相关的占用行为的长期成果。通过移动应用程序考虑到推荐服务,本文提出了一种更具活力和乘员的解决方案,它不仅提供了有用的能源相关的建议,而且还调整了建议的瞬间以最大限度地提高用户的接受程度最佳能量行为改变。这些时刻是在能量行为方面重新定义的微观时刻,当三个因素的条件一致,位置,物理和移动活动时发生。我们开发一个可以监视它们并检测潜在微观时机的移动应用程序,当通知可以被推到用户时。从设备的传感器周期地收集位置,使用Google活动识别API推断出物理活动,而移动活动被推断使用移动事件触发和使用统计数据。实验结果表明,我们的动态方法是合理的,因为微观时刻是高度不可预测和用户特定的。

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