摘要：【中文】本发明涉及一种基于时间特征分析的光伏窃电发现方法和系统，其中方法包括：计算关键时间测量点：关键时间测量点包括样本用户的出力曲线中，出力提升的时间测量点、出力稳定的时间测量点和出力下降的时间测量点；或者，关键时间测量点包括样本用户的出力曲线中，出力提升的时间测量点、出力最高的时间测量点和出力下降的时间测量点；计算日发电量变化比例；进行聚类分析：根据日发电量变化比例和关键时间测量点，对样本用户利用HCM算法进行聚类分析，确认窃电用户。本发明提供了一种有效、实用、科学的光伏曲线特征提取方法，适用于光伏窃电行为的发现，有利于减少电网经济损失，提高社会公平性。 【EN】The invention relates to a photovoltaic electricity stealing discovery method and a photovoltaic electricity stealing discovery system based on time characteristic analysis, wherein the method comprises the following steps: calculating key time measurement points: the key time measuring points comprise a time measuring point of output improvement, a time measuring point of output stability and a time measuring point of output reduction in an output curve of a sample user; or the key time measuring points comprise a time measuring point of output improvement, a time measuring point of highest output and a time measuring point of output reduction in the output curve of the sample user; calculating the daily power generation change proportion; performing cluster analysis: and performing cluster analysis on the sample users by using an HCM algorithm according to the daily power generation amount change proportion and the key time measuring point, and confirming the electricity stealing users. The invention provides an effective, practical and scientific photovoltaic curve characteristic extraction method, which is suitable for finding photovoltaic electricity stealing behaviors, is beneficial to reducing the economic loss of a power grid and improving the social fairness.