Title |
The Daily Peak Load Forecasting in Summer with the Sensitivity of Temperature |
Keywords |
Load forecasting ; Sensitivity of temperature ; Korean national days |
Abstract |
Due to the weather sensitivity of the power load, it is difficult to forecast accurately the peak power load of summer season. We improve the accuracy of the load forecasting considering weather condition. We introduced the sensitivity of temperature and proposed an improved forecasting algorithm. The proposed algorithm shows that the error of the load forecasting is 1.5%. |