Fourier-Series-Based Application Modeling for Monthly Hydropower Generation

Abstract

As one classical utility for time-series analyzing, the Fourier-series (FS) technique has been widely applied in engineering applications and education. At the present digital age, it feeds the boom of computer-based simulation (CBS), which has proven to be one valuable and useful approach for offering convenient and realistic experiences in engineering and education. With an application background on modeling monthly hydropower generation, this study outlines an application-based extended teaching design utilizing CBS for the FS-related teaching in one fundamental course called “signals and systems” for engineering undergraduate students. Firstly, one finite-FS-based model is introduced for evaluating monthly hydropower generation to broaden teaching contents. Furthermore, extended applications of the proposed FS-based model including data interpolation for estimating half-monthly hydropower generation and quasiperiodic signal identification for monthly hydropower generation are proposed to promote study interests and broaden horizons. Related electronic & electrical engineering education and applications may benefit from the proposed method.