To develop a construction and demolition waste management network that considers the expansion of municipalities, it is necessary to make predictions. These forecasts include an increase in the population, the amount of waste and the cost of infrastructure installation sites.
Can regression analysis, moving average, weighted moving average, Holt-Winters method, Box-Jenkins model, artificial neural networks and Gray model be used to solve this problem?
First: forecasting of WHAT? and
second: how far do you want to foresee?
Time series analysis and fuzzy systems can be a good tool for the prediction of waste generation. Also, LCA can also be explored.
In my opinion you can use moving average curve, using excel. If you correctly put your historical data and draw a trend line, it can predict you the future trends. Although there may be few % deviation with actual. But i think if you have good historical data then it can surely predict for next few years more correctly.
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