Abstract: Based on the load curves of fixed user groups of various industries in 23 provinces, a multi-dimensional price elasticity coefficient is proposed to evaluate the impact of time-of-use electricity price adjustment on the peak and valley electricity consumption of various industries in various provinces, and the sensitivity of peak-valley power demand to multi-dimensional price indicators is analyzed. The multi-dimensional price elasticity coefficient was used to quantitatively evaluate the sensitivity of the three-dimensional power indicators of various industries in different regions, including reducing peak electricity, increasing valley electricity and reducing the load peak-valley difference rate, to the three-dimensional price indicators, including increasing the peak electricity price, reducing the valley electricity price and increasing the peak-to-valley electricity price ratio. The time-of-use electricity price optimization and adjustment strategies can be proposed for different regions, industries and time periods according to the analytical results of multi-dimensional price elasticity coefficient.