$E^3$：时空能源需求的可视化探索
$E^3$: Visual Exploration of Spatiotemporal Energy Demand
摘要：
了解需求方的能源行为对于能源需求管理的效率反应至关重要。我们与能源专家密切合作，确定了能源需求问题的关键要素，包括时间和空间需求以及时空需求的变化。据我们所知，没有以前的研究调查的时空需求的变化。为了填补这一研究空白，我们提出了一个统一的可视化分析方法，以支持探索性的需求分析，我们开发了E3，一个高度互动的工具，支持用户通过人-客户端-服务器交互，使和验证假设。一种新的基于势流的方法被形式化，以模拟能源需求的变化，并集成到服务器端引擎。然后，专家们通过对真实世界电力数据的案例研究，评价并肯定了这一方法的实用性。未来，我们将改进建模算法，增强可视化，并扩展流程以支持更多形式的能源数据。
英文摘要：
Understanding demand-side energy behaviour is critical for making efficiency responses for energy demand management. We worked closely with energy experts and identified the key elements of the energy demand problem including temporal and spatial demand and shifts in spatiotemporal demand. To our knowledge, no previous research has investigated the shifts in spatiotemporal demand. To fill this research gap, we propose a unified visual analytics approach to support exploratory demand analysis; we developed E3, a highly interactive tool that support users in making and verifying hypotheses through human-client-server interactions. A novel potential flow based approach was formalized to model shifts in energy demand and integrated into a server-side engine. Experts then evaluated and affirmed the usefulness of this approach through case studies of real-world electricity data. In the future, we will improve the modelling algorithm, enhance visualisation, and expand the process to support more forms of energy data.
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。
