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: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/99693/ http://dx.doi.org/10.1007/978-3-030-98741-1_6 |
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| Institution: | Universiti Teknologi Malaysia |