利用能源相关的微时刻推荐重塑消费习惯：案例研究
Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study
摘要：
在过去十年中，人类影响和自然生态过程造成的环境变化及其影响证明，现在比以往任何时候都更谨慎地过渡到更可持续的能源消费行为模式。用户能源消耗是从塑造用户日常消费习惯的时间到时间的生活标准归纳得出的。这项工作建立在从消费日志中检测重复使用消费模式的基础上。它提出了一个能源消耗减少系统的结构和操作，该系统在办公室环境中采用一组传感器，智能电表和执行器，并针对特定的用户习惯。使用我们以前的研究成果的价值与能源相关的微时刻的建议，实施的系统是一个集成的解决方案，避免不必要的能源消耗。通过使用消息API，系统在适当的时候向用户推荐适当的节能行动，并逐渐塑造用户的习惯。该解决方案已在Home Assistant开源平台上实现，该平台允许定义用于控制办公设备的自动化。几个场景的实验评估表明，该系统管理，首先，以减少能源消耗，其次，触发用户的行动，可能会敦促他们更可持续的能源消费习惯。
英文摘要：
The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy consumption behaviors. User energy consumption is inductively derived from the time-to-time standards of living that shape the user's everyday consumption habits. This work builds on the detection of repeated usage consumption patterns from consumption logs. It presents the structure and operation of an energy consumption reduction system, which employs a set of sensors, smart-meters and actuators in an office environment and targets specific user habits. Using our previous research findings on the value of energy-related micro-moment recommendations, the implemented system is an integrated solution that avoids unnecessary energy consumption. With the use of a messaging API, the system recommends to the user the proper energy saving action at the right moment and gradually shapes user's habits. The solution has been implemented on the Home Assistant open source platform, which allows the definition of automations for controlling the office equipment. Experimental evaluation with several scenarios shows that the system manages first to reduce energy consumption, and second, to trigger users' actions that could potentially urge them to more sustainable energy consumption habits.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
