Load profiles clustering is of great significance for the load forecasting,power grid planning and demand response,but massive historical load profiles introduce great challenges for the data storage and computation efficiency.To solve this problem,a dimension-reduced clustering method for daily load profiles is proposed based on singular value decomposition.Firstly,daily load profiles are transformed into a new coordinate system by singular value decomposition,and the singular values reflect the importance...