ABSTRACT
The chapter takes up the component of Big Data handling for the smart energy system. It further deals with the different methods for big data analysis (BDA) involved in the load and prediction of prices in the smart grid environment. Moreover, it also discusses a range of other issues relating to smart networking, such as creating a cloud-based smart grid platform, linking smart gids together with the Internet of Things (IoT), automated demand response, real-time smart grid pricing, etc. Further, it offers BDA for the management of energy. In addition to this, it addresses BDA’s participation in smart cities and advanced metering schemes. The role of large data in various industrial applications is highlighted. Last but not least, many different applications of Big Data, such as energy internet, maintenance systems, and social and environmental sustainability, are also considered. Thus, a comprehensive overview of the smart energy systems in Big Data context is presented and, finally, some future recommendations are highlighted.
Keywords
Big Data Analysis (BDA); Smart Energy; Dynamic Energy Management (DEM); Distributed Energy Sources (DES); Supervisory Control and Data Acquisition Systems (SCADA) Advanced Metering Infrastructure (AMI); Geographical Information System (GIS)
