mws_ind_fft_phy_problem

# mws_ind_fft_phy_problem - 11.00E.1 Chapter 11.00E Physical...

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Unformatted text preview: 11.00E.1 Chapter 11.00E Physical Problem for Fast Fourier Transform Industrial Engineering Problem Statement Forecasting is a very important tool we use in daily life. We forecast traffic or length of the line at the local coffee shop based on the time of day. Figure 1 below shows monthly net electricity power generation (Billion Kilowatt-hours) for years 1973, 83, 93 and 2003. This time series exhibits interesting properties as it has both an upward trend but also seasonal behavior. Therefore, traditional methods used for forecasting stationary time series (moving averages and exponential smoothing), trend based methods (regression), or methods used for seasonal series would introduce significant errors if used for forecasting the net electricity power generation for year 2023. 50 100 150 200 250 300 350 400 1 9 7 3 J a n u a r y 1 9 7 3 M a r c h 1 9 7 3 M a y 1 9 7 3 J u l y 1 9 7 3 S e p t e m b e r 1 9 7 3 N o v e m b e r 1 9 8 3 J a n u a r y 1 9 8 3 M a r c h 1 9 8 3 M a y 1 9 8 3 J u l y 1 9 8 3 S e p t e m b e r 1 9 8 3 N o v e m b e r 1 9 9 3 J a n u a r y 1 9 9 3 M a r c h 1 9 9 3 M a y 1 9 9 3 J u l y 1 9 9 3 S e p t e m b e r 1 9 9 3 N o v e m b e r 2 3 J a n u a r y 2 3 M a r c h 2 3 M a y 2 3 J u l y 2 3 S e p t e m b e r 2 3 N o v e m b e r Figure 1 Net electricity power generation. Net electricity power generation....
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mws_ind_fft_phy_problem - 11.00E.1 Chapter 11.00E Physical...

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