Smart Grid’s Big Data Wireless Computing

The main reason for seeking a better improvements in the smart grid development which increases data volume and complexity is economics, reliability and efficiency of the grid. This type of data requires a powerful technology to analyze and process big data. In this report, we propose an intelligent grid analysis architecture for the analysis of data transmission, storage and resources based on four fields of communication. We are proposing a data-enabled large-scale storage plan for big data wireless computing, that makes wireless communication big data awareness for smart grids. Genetic Algorithm (GA) for storage planning and internal optimization to plan daily energy was adopted as an optimization approach. This will reduce the long - term costs of consumers.