Time of use (ToU) price is an important means for power utilities to implement demand response. In order to shave peak load of the power grid based on coordination interests of all participants, it is necessary to analyze the electricity usage data of users and optimize the configuration of ToU price. The cosine similarity is employed to develop a peak load transfer evaluation coefficient index that can visually evaluate user responsiveness in a straightforward way. The index is employed to evaluate the users’ response degree of a power utility by industry. It is uncovered that majority of industrial and commercial users of various industries cannot participate in demand response due to their industry and electricity usage characteristics. Once all days in the summer are set as day of peak electricity prices, these users suffer substantial economic loss inevitably. The meteorological data and load data are analyzed to find out the way to optimize configuration of day of peak electricity prices. It is uncovered that the peak load can be shaved effectively without causing unnecessary electricity bill of these users by setting work day with temperature over 35℃ as day of electricity price.