Short term power load forecasting using a modified generalized regression neural network

• Main Authors: Yap K.S., Lim C.P.
• Other Authors: 24448864400
• Format: Conference paper
• Published: 2023
• Subjects: ?-Insensitive loss function; Generalized regression neural network; Load forecasting; Time series prediction; Competition; Neural networks; Regression analysis; Time series; Financial performance; Grid operations; Load demands; Power load forecasting; Power loads; Power systems; Prediction accuracies; Reliability and stabilities; Short term load forecasting; Short terms; Simulation results; Support vector regressions; Time frames; Utility companies; Electric load forecasting
• Institution: Universiti Tenaga Nasional

Short Term Load Forecasting is very important from the power systems grid operation point of view. The short term time frame may consist of half hourly prediction up to monthly prediction. Accurate forecasting would benefit the utility in terms of reliability and stability of the grid ensuring adequ...