A technical appendix to your memo (which will be read by VLT Carioca's data analytics staff) that includes:

the name of the model/combination of models used any modifications/manipulation of the data that was performed (and why) a description of the forecasting method or combination of methods all estimated equations, etc. associated with constructing the forecasts the MAPE and MAE for the training period and the validation period forecasts for the future period (July 1 to 3) at 15-minute intervals a graph showing the fit of the final model for the entire period (including training, validation and future), fitted using the combined training and validation data any additional information that would be useful in understanding or recreating your forecast a list of any references consulted in preparing your answer (Remember the data analytics staff will weigh in on whether you have the technical expertise needed to take on larger forecasting projects for VLT Carioca use excel Light Rail Data Case 1 SU23.xlsx (brightspace.com)