Abstract: It is hard to obtain the effective information on electricity consumption behaviors of zero-power consumption users among low-voltage residential electricity theft users who are easily confused with vacant house owners, which is a special problem for electricity theft detection. Based on the strong correlation between water and electricity data of residential users, a zero-power user electricity theft detection method is proposed based on water-electricity correlation information. Firstly, the relationship between electricity and water consumption data of residential users is analyzed. Then, a maximal information model of users' daily electricity consumption and daily water consumption is constructed, and the maximum information coefficient (MIC) at different time scales is calculated to measure the information correlation. Thirdly, the user's maximal information coefficient is clustered, and the samples that deviate significantly from the cluster are identified as the suspected electricity theft users with weak water-electricity correlation. When the electricity consumption of the suspected electricity theft users is zero, they are identified as the electricity theft users with zero power consumption. The test examples of two distribution areas show that the proposed method can effectively detect the electricity theft users with zero power consumption and guide the on-site electricity theft detection work.