Service-Oriented Distributed Energy Data Management Using Big Data Technologies

Nowadays, the smart grid becomes a new electrical grid system instead of the traditional grid. It can provide the efficiency and reliability of energy resources. A smart meter possesses the sen-sors which collect information about energy consumption and production at a defined time. A vast amount of data needs to be aggregated, stored and transformed in near realtime for intelligent response and decision support in the smart grid. There are many technologies, which can provide the storing, aggregation and processing of the data. Each technology is more suitable for specific tasks. The devices generate a massive amount of data. Therefore, all this data belong to the Big Data area. Grid management includes the prediction of load and consumer usage behaviours. In order to effectively analyze and storage, this data should use the Big Data technologies. It can provide fast methods of transmitting. In this article the authors considered the architecture of the smart grid and evaluated this system in the real region.