In smart energy systems, the data are not only traditional structured relational data, but also many semi-structured data like the weather data and Web services data, as well as unstructured data like customer behavior data and the audio and video data. The energy big data is a mix of structured, semi-structured and unstructured data .
The big data driven smart energy management requires complete data governance strategies, as well as organization and control procedures. High quality, standardization and format uniform are the prerequisites of many energy big data-intensive applications. Data integration and sharing.
The rapid development of related industries also reveals the insufficiencies of current energy systems and people’s increasing demand for the achievement of smart energy management, as well as the potential that big data analytics can play in promoting smart energy management.
The explosive growth of energy big data and the speed requirement for collecting, processing and using of energy data have brought a serious of challenge for traditional IT infrastructure .
Big data analytics can provide effective and efficient decision support for all of the producers, operators, customers and regulators in smart grid. Big data is changing the way of energy production and the pattern of energy consumption. Energy big data have brought opportunities and challenges at the same time for us.
The development of new energy industry is an essential guarantee for the sustainable development of society, and big data technology can enable new energy industrialization. Firstly, this paper presents an in-depth analysis and discussion of big data technology in new energy power and energy storage systems.