An integrated simulated-based fuzzy regression algorithm and time series for energy consumption estimation with non-stationary data and case studies

Abstract

This study presents an integrated fuzzy regression, computer simulation and time series framework to estimate and predict electricity demand for seasonal and monthly changes in electricity consumption especially in developing countries such as China and Iran with non-stationary data. Furthermore, it is difficult to model uncertain behavior of energy… (More)

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