Power big data research and application in smart grid

Demand side management is an effective method for conserving energy and reducing emissions. In this paper, power big data research and its application in smart grids is discussed. Using information and communications technology, a c-means clustering algorithm was made as the core, after which it was combined with cloud computing technology and an electricity demand response model to establish the constraint equation. This model was then used for a residential electricity data classification task. Taking 200 randomized sampling users, three user groups were obtained. For the first and third groups, orderly electricity consumption was carried out, and the electricity load was reduced by 5%. The calculations demonstrate the validity of our model and algorithm