October 2012
Beginner
420 pages
9h 37m
English
book
Industrial Statistics with Minitab
by Pere Grima Cintas, Lluis Marco Almagro, Xavier Tort-Martorell Llabres
Content preview from Industrial Statistics with Minitab
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25.2 Power Plant
The file POWER_PLANT.MTW contains data corresponding to 50 days of operation of a thermal power station. Each row corresponds to daily data and the columns are:
| Col. | Name | Content |
| C1 | Yield | Yield of the thermal power plant |
| C2 | Power | Average power |
| C3 | Fuel | Combustible used (0: Fuel, 1: Gas) |
| C4 | FF | Form factor of the power curve. Measures the variation of the power throughout the day. |
| C5 | Steam Temp. | Live steam temperature |
| C6 | Air Temp. | Air temperature (environment) |
| C7 | Seawater Temp. | Seawater temperature (cold source) |
| C8 | Day | Weekday (1: Monday, 2: Tuesday, …) |
The aim consists in building a model that explains the plant's yield as a function of the variables available.
First, it should be clear that the variable Day, as such (qualitative variable with more than two categories), cannot be a candidate to be included in the model. However, what can be done is to encode it as 0=working day (Monday to Friday) and 1=weekend (Saturday and Sunday). This distinction seems reasonable to the technicians, because on weekends there is less demand and that could affect the performance of the power plant.
Data > Code > Numeric to a Numeric
With the new variable created, we carry out an exploratory analysis of the data.
Graph > Matrix Plot: Simple
As there ...
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