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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Main Authors: Shabri, Ani, Samsudin, Ruhaidah, Alromema, Waseem
格式: Book Section
出版: Springer Science and Business Media Deutschland GmbH 2022
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在线阅读:http://eprints.utm.my/id/eprint/99695/
http://dx.doi.org/10.1007/978-3-030-98741-1_6
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