17. 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 past 4 years are as follows: Quarter 1 2 3 4 Year 1 103.5 126.1 144.5 166.1 Year 2 94.7 116.0 137.1 152.5 Year 3 118.6 141.2 159.0 178.2 The manager estimates the total demand for the next year at 600 MW. Use the multiplicative seasonal method to develop the forecast for each quarter. Year 4 109.3 131.6 149.5 169.0

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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17. 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 past 4 years are as follows:
Quarter
1
2
3
Year 1
103.5
126.1
144.5
166.1
Year 2
94.7
116.0
137.1
152.5
Year 3
118.6
141.2
159.0
178.2
The manager estimates the total demand for the next year at 600 MW. Use the
multiplicative seasonal method to develop the forecast for each quarter.
Year 4
109.3
131.6
149.5
169.0
Transcribed Image Text:17. 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 past 4 years are as follows: Quarter 1 2 3 Year 1 103.5 126.1 144.5 166.1 Year 2 94.7 116.0 137.1 152.5 Year 3 118.6 141.2 159.0 178.2 The manager estimates the total demand for the next year at 600 MW. Use the multiplicative seasonal method to develop the forecast for each quarter. Year 4 109.3 131.6 149.5 169.0
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