Visualization for Personal Energy Analytics

建筑节能是在保护市民的同时减少碳污染的低成本、有效的方法 以及企业的能源价格上涨，减少能源贫困，改善健康和生产力。简单 然而，改善建筑科学是不够的：尤其是，住宅能源使用量预计将上升到 是人口增长率的两倍，突出了居民在减少能源方面的关键作用 消费和温室气体排放。为此，能源供应商有针对性地意识到并 将行为改变作为保护战略的重要目标，并正在积极探索使用丰富的 反馈和报告，以改善居民能源消费模式。研究表明，虽然这样 反馈是有用的，但结果仍然不尽如人意：尤其是缺乏可操作的知识使脱钩 人们的能源消耗不受日常活动的影响。这突显了一个问题，尽管我们有 虽然在一系列报告工具中增加了对丰富和及时数据的访问，但我们仍然对如何 在日常生活中设计、定位和集成它们，以支持人们做出更高效的能源使用决策。 在实践中，人们仍然存在障碍，无法充分了解他们的能源数据及其相关影响， 主要是由于缺乏与房主当时正在做的事情相关的上下文信息 消费。Ecotagious Ltd.使用分解算法识别按设备划分的能耗 合计：即在定期报告(能源账单)中交付给户主。该公司感兴趣的是 扩展这些报告以包括更多活动背景，以帮助家庭了解他们的能源 消费数据及相关行为。在这个项目中，我们将专注于设计和开发 交互式可视化方法，可支持住宅消费者更好地了解家庭 能源使用得到了来自负荷解除隔离、外部条件和个人活动的背景的帮助。

Energy efficiency in buildings is a low-cost, effective way to reduce carbon pollution while protecting citizens and businesses from energy rate hikes, reducing energy poverty and improving health and productivity. Simply improving building science is insufficient, however: in particular, residential energy use is predicted to rise at twice the rate of population growth, highlighting the critical role of the inhabitant in reducing energy consumption and greenhouse gas emissions. For this reason energy providers have targeted awareness and behaviour change as important goals in conservation strategies and are actively exploring the use of enriched feedback and reports to improve residential energy consumption patterns. Studies show that while such feedback is useful the results are still less than desired: in particular a lack of actionable knowledge decouples people's energy use from the impact of their everyday activities. This highlights the problem that while we have increasing access to rich and timely data in a range of reporting tools, we still know very little about how to design, situate and integrate them in daily life to support people in making more efficient energy use decisions. Barriers still exist in practice for people to fully understand their energy data and related impact, mostly due to the lack of contextual information related to what the householder was doing at the time of consumption. Ecotagious Ltd. uses disaggregation algorithms to identify energy consumption by appliance in aggregate: that is, delivered to the householder in periodic reports (energy bill). The company is interested in extending these reports to include more activity context to help households understand their energy consumption data and the related behaviour. In this Engage project, we will focus on designing and developing interactive visualization approaches that can support residential consumers to better understand household energy use assisted by the context from load desegregation, external conditions and personal activity.