Ubiquitous Urban Computing for Smart City Based on Space-time Load Distribution Information

In order to make up for the deficiency of urban computing theories and technologies based on smart grid information, a ubiquitous urban computing framework for smart city is proposed in this paper. Based on robust principal component analysis and stochastic configuration network, this paper established an electric customer portrait method facing space-time load distribution information. Based on the electric customer portrait method, the shared bicycle and shop location resettlement applications of our proposed ubiquitous urban computing technology were performed. Experimental results demonstrated that, this proposed technology is quite helpful to combine information and calculate near-optimal solution for the demand scenes of smart city, solving the modern city challenges and creating new value growth points for electric power enterprises in China.