Title :
Advances and Future Challenges in Electric Power Big Data
Author :
Yang Yindong ; Bi Zhongqin
Author_Institution :
Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China
Abstract :
Through storage, consolidation, calculation, application core technologies of Big Data, application in electric power industry could drive upgrading and transformation of IT platform and business model of electric power companies. Big Data application in electric power industry requires to improve the capabilities of data storage and processing, which fills in the virgin areas of analysis and usage of unstructured data and massive data mining to improve the data mining efficiency of electric power companies. The electric power big data (EPBD) challenge is becoming one of the most exciting opportunities for the years to come. We present a broad overview of this topic, its current status, technical challenges, and a forecast to the future in this paper.
Keywords :
Big Data; data analysis; data mining; electricity supply industry; EPBD; IT platform; business model; data mining efficiency; data processing; data storage; electric power big data; electric power company; electric power industry; unstructured data; Big data; Data mining; Data models; Distributed databases; Power industry; Power systems; Big Data; cloud computing; electric power Big Data;
Conference_Titel :
Advanced Cloud and Big Data (CBD), 2014 Second International Conference on
Print_ISBN :
978-1-4799-8086-4
DOI :
10.1109/CBD.2014.36
