The manager of a utility company in the Texas panhandle wants to develop quarterly forecasts of power loads for the next year. The power loads are seasonal, and the data on the quarterly loads in megawatts (MW) for the last four years are as follows: Quarter Year 1 Year 2 Year 3 Year 4 117.6 143.4 167.7 182.4 1 101.6 94.2 112.7 143.3 101.5 132.9 159.3 169.0 127.3 3 146.6 4 168.5 153.7 The manager estimates the total demand for the next year at 689 MW. Use the multiplicative seasonal method to develop the forecast for each quarter. (Round all intermediate calculations to three decimal places.) The first quarter forecast is MW. (Enter your response rounded to one decimal place.)
The manager of a utility company in the Texas panhandle wants to develop quarterly forecasts of power loads for the next year. The power loads are seasonal, and the data on the quarterly loads in megawatts (MW) for the last four years are as follows: Quarter Year 1 Year 2 Year 3 Year 4 117.6 143.4 167.7 182.4 1 101.6 94.2 112.7 143.3 101.5 132.9 159.3 169.0 127.3 3 146.6 4 168.5 153.7 The manager estimates the total demand for the next year at 689 MW. Use the multiplicative seasonal method to develop the forecast for each quarter. (Round all intermediate calculations to three decimal places.) The first quarter forecast is MW. (Enter your response rounded to one decimal place.)
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.7: Exponential Smoothing Models
Problem 28P: The file P13_28.xlsx contains monthly retail sales of U.S. liquor stores. a. Is seasonality present...
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