Peningkatan Sistem Prediksi Kebutuhan Energi Jangka Pendek Menggunakan Algoritma RVGA-ENM
Short term energy demand forecasting system is a tool in short term energy planning such as monthly energy needs in an area. This study aims to improve the ability of short-term prediction systems using the RVGA-ENM algorithm. The integration of the RVGA (real value genetic algorithm) and ENM (exten...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya
2019-09-01
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| Series: | Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) |
| Online Access: | https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/595 |