The smart grid achieves bidirectional information and energy flow between energy consumer and utility grid, aiding energy users not only to utilize energy, but also to produce, sell, and share energy with other consumers or with the utility grid. This type of energy user is referred to as the “prosumer”. Thus, prosumer management structures are important within energy market. However, prior studies on energy sustainability has paid little attention on prosumer involvement and management. Likewise, the continuous growth of cities has increased data processing complexity. Consequently, processing and analysis of historical, online, and real-time streaming data from energy sensors and metering devices has become a major issue in smart cities. Therefore, this research aims to present an architecture based on big data to improve energy prosumption in smart community districts by applying enterprise architecture approach grounded on The Open Group Architecture Framework (TOGAF). Accordingly, qualitative methodology is adopted to collect data by employing case study by focus group interview from two energy companies in Norway to preliminarily validate the architecture. Findings from the case studies was demonstrated in ArchiMate modeling language to evaluate the applicability of the architecture. Moreover, findings from this study provides practical scenario that energy service providers can refer to in designing their own energy data platforms. Essentially, the architecture can be utilized as a guide to help municipalities and policy makers in creating approach for energy data analytics in smart community districts towards making decisions for future energy prosumption planning.

中文翻译：

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智慧社区中面向大数据的能源消费服务：多案例研究的视角

智能电网实现了能源消费者和公用电网之间的双向信息和能量流，不仅帮助能源用户利用能源，而且还帮助其他用户或公用电网生产，销售和共享能源。这种能源用户称为“生产者”。因此，生产者管理结构在能源市场中很重要。但是，以前关于能源可持续性的研究很少关注生产者的参与和管理。同样，城市的持续增长也增加了数据处理的复杂性。因此，来自能源传感器和计量设备的历史，在线和实时流数据的处理和分析已成为智能城市的主要问题。因此，这项研究旨在提出一种基于大数据的架构，以通过应用基于开放组架构框架（TOGAF）的企业架构方法来改善智能社区区域的能源消耗。因此，采用定性方法通过对来自挪威两家能源公司的焦点小组访谈进行案例研究来收集数据，以初步验证该体系结构。案例研究的结果以ArchiMate建模语言进行了演示，以评估该体系结构的适用性。此外，这项研究的结果提供了实际的场景，能源服务提供商可以在设计自己的能源数据平台时参考。本质上，