Moving holidays' effects on the Malaysian peak daily load

• Main Authors: Razak F.Abd., Hashim A.H., Abidin I.Z., Shitan M.
• Other Authors: 36988285400
• Format: Conference paper
• Published: 2023
• Subjects: ARMA; Dynamic regression; MAPE; SARIMA; Transfer function; Autocorrelation; Regression analysis; Time series analysis; Transfer functions; Akaike's information criterions; Appropriate models; Autocorrelation functions; Chinese New Year; Christmas; Decision makers; Electricity-consumption; Forecasting accuracy; Forecasting error; Function modelling; Load forecasting; Malaysia; Malaysians; Mean absolute percentage error; Partial autocorrelation function; Power utility; Public holidays; Short term load forecasting; Electric load forecasting
• Institution: Universiti Tenaga Nasional

Malaysia's yearly steady growth in electricity consumption as a result of fast development in various sectors of the Malaysian economy have increased the need to have a more robust, reliable and accurate load forecasting for short -, medium-, or long-term. A reliable method for short term load...