Application and Development Review of Big Data Technology on Smart Grid Demand Side

Abstract

This paper first introduces the source of electric power big data and the application of three big data technologies on the demand side of smart grid. Then, the research status of load forecasting on the demand side of smart grid was summarized, and the neural network has been used to carry out load forecasting with examples. The results have illustrated the importance of influencing factors to accurate prediction results, and considering the new influencing factors brought about by the ubiquitous electric power Internet of Things, and the types of influencing factors were summarized. Finally, an energy Internet architecture for integrating the ubiquitous electric power Internet of Things and a strong smart grid in a big data environment was proposed, and the research route of the new influencing factors that need to be considered in the future demand side application of big data technology for electric demand forecasting was proposed.