Malaysian peak daily load forecasting

• Main Authors: Fadhilah R.Abd., Amir H.H., Izham A.Z., Mahendran S.
• Other Authors: 36988285400
• Format: Conference paper
• Published: 2023
• Subjects: ANFIS; ARMA; Load Forecasting; RegARMA; Errors; Neural networks; Regression analysis; Time series; Time series analysis; Appropriate models; ARMA model; Auto regressive models; Daily load forecasting; Engineering problems; Environmental phenomena; Forecasting models; Hybrid model; Load forecasting; Malaysians; Mean absolute percentage error; Order 2; Regression model; System loads; Times series; Electric load forecasting
• Institution: Universiti Tenaga Nasional

Time series analysis has been applied intensively and sophisticatedly to model and forecast many problems in the biological, physical and environmental phenomena of interest. This fact accounts for the basic engineering problem in forecasting the daily peak system load to use time series analysis. A...