Improved short-term load forecasting can be obtained by carefully selecting similar days in an integrated model for short-term load forecasting. Traditionally, similar days are selected based on experience, which can affect forecasting accuracy. Three methods were developed to classify trend-similar days from shape-similar days for short-term load forecasting. The three methods were compared to
... [Show full abstract] develop an effective forecasting method. Numerical tests verified the efficiency of the method.