Organizing Decentralized Energy Data Using Semantic Approach

With recent ICT technologies developed for smart energy systems, sensors are popularly used for metering energy consumption by devices in decentralized smart energy networks. Processing energy consumption data at decentralized level will help to facilitate the high-efficiency energy use. Many smart energy projects have published the data on the web for other scholars to perform reanalysis on the data. However, such data tend to vary in storage format (e.g., CSV, JSON, XML) and focus more on the energy aspects. Moreover, adding information from outside data sources into the system such as weather is challenging because data of different sources are usually heterogeneous and exist as fragments on the web. In this paper, we propose using semantic approach to manage the decentralized energy data. The main advantage of this work is that it builds a well-defined interoperable structure for organizing the energy data. Furthermore, a variety of cross-domain data sources can be integrated naturally by human words to enhance the reanalysis on the decentralized energy data.