Survey of technologies, techniques, and applications for big data analytics in smart energy hub

Abstract

The combination of energy hubs with advanced information and communication technology has resulted in the creation of an intelligent system referred to as a smart energy hub (SEH). The implementation of the SEH has facilitated the enhancement of the entire energy distribution system by enabling a two-way exchange of energy and information between utility providers and consumers. This has resulted in a system that is secure, efficient, and dependable. The significance and visibility of big data in the SEH are evident as a result of the growing accumulation of data quantities. A wide range of equipment and software work together to collect and use energy data. This includes tools used by both energy providers and customers, like smart meters, software for billing, and various monitoring and control systems. Additionally, sensors, computers, and communication networks play a crucial role in collecting and transmitting this data across the energy grid. Hence, big data plays a crucial role in the development of an enhanced SEH. This paper presents an introduction to the notion of SEH and its associated concepts, as well as the function of big data in the context of SEH. It also discusses the obstacles that big data encounters in the SEH domain and explores the potential opportunities that big data offers for SEH.

Keywords

• Big data
• Smart energy hub
• Data analytics
• Big data management
• Machine learning