Big-Data-Anwendung in der Energiespeichertechnologie
Das Big Data-Analyse- und -prognoseverfahren stellt die Planbarkeit für Stromerzeugung und Wasserspeicherbedarf her, sodass wirtschaftlich sinnvoll das
What is energy big data?
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 .
What is big data based smart energy management?
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.
What is big data technology?
Research trends of big data technology for new energy power and energy storage system The use of big data technology is the key to the solution of multi-dimensional system problems, the improvement of operational efficiency, and the reduction of production costs.
What is big data & AI in energy?
Big data and artificial intelligence (AI) are emerging technologies, and their applications in the energy field are supported by governments and recognized by the industry. In the past 20 years, research on the combination of big data, AI, and energy that covers a wide range of disciplines has shown a rapid increase.
How big data is transforming the energy industry?
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.
Why is energy big data a challenge for traditional IT infrastructure?
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 .
