The invention discloses a power load monitoring method based on electric quantity feature analysis. The method comprises the following steps: historical power load monitoring data are acquired, and a training sample collection is built; a one-class support vector machine theory is used for selecting typical days in the training samples; daily load electric quantity data are divided into four sections according to a time sequence, a historical electric quantity data sequence is formed and normalization is carried out; a forecasting model is built, and the historical data obtained through normalization are forecasted; and the result obtained through forecasting is normalized to actually-measured data according to a load level, and compared with the actually-measured data. A load variation law index is built, influences on marketing of a power market and making of an electricity price by a customer macro policy and a customer production scale can be reflected, anomaly of a specific certain industry can be deduced from anomaly of the whole society and even anomaly of a certain customer is deduced, and main factors caused by abnormal changes of the load are analyzed.