Improve short-term electricity consumption forecasting using a GA-based weighted fractional grey model

This study proposed a weighted fractional grey model (WFGM) based on a genetic algorithm for forecasting annual electricity consumption. WFGM has two parameters that can be used to adjust the order of the summation based on different data sequences and reflect the new information priority. The key i...

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Bibliographic Details
Main Authors: Shabri, Ani, Samsudin, Ruhaidah, Alromema, Waseem
Format: Book Section
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
Online Access:http://eprints.utm.my/id/eprint/99695/
http://dx.doi.org/10.1007/978-3-030-98741-1_6
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