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 1 102.9 90.9 121.8 108.5 2 128.4 119.4 157.6 139.9 3 142.2 144.8 165.6 145.6 4 169.8 155.9 181.7 169.0   The manager estimates the total demand for the next year at 732MW. Use the multiplicative seasonal method to develop the forecast for each quarter.

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...
icon
Related questions
Question
100%
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
1
102.9
90.9
121.8
108.5
2
128.4
119.4
157.6
139.9
3
142.2
144.8
165.6
145.6
4
169.8
155.9
181.7
169.0
 
The manager estimates the total demand for the next year at 732MW. Use the multiplicative seasonal method to develop the forecast for each quarter.
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Forecasting
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Practical Management Science
Practical Management Science
Operations Management
ISBN:
9781337406659
Author:
WINSTON, Wayne L.
Publisher:
Cengage,