Time series forecasting and analysis of municipal solid waste generation in Tehran city

Prediction of municipal waste generation is a challenge for decision making and planning, because proper planning and operation of a solid waste management system is influenced by municipal solid waste (MSW) streams analysis and forecasting of solid waste quantities generated Time series modeling is widely used in prediction studies. This study focuses to analyze, compare and select the best time series model for predicting amount of solid waste generation for Tehran city. The past data used are monthly amount of solid waste collected by the city authorities from year 1387 to 1392 (2009 to 2014). The result shows indicated that ARIMA (2, 1, 0) outperformed other potential models in terms of MAPE, MAD and RMSE measures and hence used to forecast the amount of the solid waste generation for the next years.