研究客户的用电行为偏好，例如日常用电峰谷分布情况，月度用电趋势，年度用

Research customer's electricity consumption behavior preferences, such as daily electricity consumption peak and valley distribution, monthly electricity consumption trend, annual electricity consumption behavior analysis, user equipment reactive power ratio, etc., according to customer preferences to provide customers with energy saving, capacity increase and noise reduction And other suggestions. At the same time, these data can also provide early warning for power supply companies to identify customers' unsafe power usage, power theft, and other behaviors in advance, and timely restore the economic losses of the power company

Research customers' electricity behavior preferences, such as daily electricity peak and valley distribution, monthly electricity trends, annual electricity behavior analysis, user equipment reactive power ratio, according to customer preferences to provide customers with energy saving, increase capacity and noise reduction and other recommendations. At the same time, these data can also provide early warning for power supply enterprises to identify customers' unsafe electricity, stealing electricity and other acts, timely recovery of power companies' economic losses.

Study the customer's preference for electricity consumption, such as daily peak valley distribution, monthly power consumption trend, annual electricity consumption behavior analysis, the proportion of reactive power of user equipment, etc., and provide suggestions on energy saving, capacity increase and noise reduction for customers according to their preferences. At the same time, these data can also provide early warning for power supply enterprises to identify customers' unsafe use of electricity, stealing electricity and other behaviors in advance, and timely recover the economic losses of power companies<br>