This paper presents the biodiesel prices in Thailand with the time series decomposition method. The source of time series data comes from the energy policy and planning office, Ministry of Energy of Thailand, monthly average retail price of regular-grade biodiesel, during 2007-2016, 120 months in total. This study aims to use forecasting methods to deter biodiesel prices in Thailand over the next 20 years, from 2017 to 2036. This solution starts with decomposing data into a trend, a cycle, seasonal, and any irregular components and then calculates biodiesel prices with a multiplicative model. The model shows a continuous decreasing trend of biodiesel prices from around to THB/liter in 2017 to THB/liter in 2036. Moreover, the forecasting method has the least mean absolute present error (MAPE) at . |
