In part one of this series paper

the big data thinking and the macro energy thinking have been explained. On one hand

the energy system is considered in the context of the cyber-physical system

to break down the physical barriers among power system

primary energy system and end-use energy system. On the other hand

the private network and the Internet are combined together to constitute the communication system

to break down the barriers between operation and business activities. Thus

the above-mentioned physical and information systems can be integrated into a cyber-physical system

through causal data

statistical data

gambling data and corresponding big data technology. Along this direction

this paper explores the applications of power(energy)big data. Based on several topics that have been studied

the significance and approaches of big data technology in enhancing the economy and reliability of energy flow in different spatial and temporal scales are induced

which include: (1) introduce casual analysis measures to topics that usually relied entirely on statistical analysis

to improve the applicability and accuracy; (2) introduce statistical analysis measures to topics that usually relied entirely on casual analysis

to enhance the efficiency; (3) combine casual analysis

statistical analysis and experimental economics simulation analysis

to create a new research area of what a single analysis paradigm cannot solved

such as the interactions between the macro energy system and the natural environment

the social environment

market economy

policy and other non-energy sectors.This work is supported by National Natural Science Foundation of China(No. 61533010)

NSFC-EPSRC Collaborative Project(No. 513111025-2013)

China-Thailand Cooperation Fund Project(No. 5151101161)

and State Grid Corporation of China.