Malaysian day-type load forecasting

• Main Authors: Fadhilah A.R., Suriawati S., Amir H.H., Izham Z.A., Mahendran S.
• Other Authors: 36988285400
• Format: Conference paper
• Published: 2023
• Subjects: ANFIS; ARMA; Load forecasting; MAPE; RegARMA; Fuzzy systems; Neural networks; Regression analysis; Sustainable development; Time series; Time series analysis; ANFIS model; Appropriate models; Auto regressive models; Engineering problems; Environmental phenomena; Forecasting accuracy; Hybrid model; Malaysians; Order 2; Regression model; System loads; Times series; Electric load forecasting

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...