Medium term load forecasting by using hybrid regression artificial neural network based on genetic algorithm
Yazarlar (3)
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
| Dergi Adı | 4 rd International Multidisciplinary Congress of Eurasian (IMCOFE). Rome/Italy | ||
| Makale Dili | – | Basım Tarihi | 01-2017 |
| Makale Linki | https://www.researchgate.net/profile/Serhat-Duman-4/publication/326295390_Medium_Term_Load_Forecasting_by_using_Hybrid_Regression-Artificial_Neural_Network_based_on_Genetic_Algorithm/links/5b449bd2aca272dc385c82ee/Medium-Term-Load-Forecasting-by-usin | ||
| UAK Araştırma Alanları |
Elektrik Tesisleri
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| Özet |
| Nowadays, the increasing population and developments in technology have become obligatory the load forecasting in energy market. Load forecasting is an indispensable part of the power system planning. Artificial intelligence approaches as well as traditional approaches are used in load forecasting studies. In this study, medium term load forecasting for Sinop city is proposed with hybrid regression-artificial neural network based on genetic algorithm method. The obtained results from the regression analysis, the artificial neural network and the hybrid regression-artificial neural network based on genetic algorithm methods are compared to the real load data for Sinop city. In this way, the best approach is investigated for medium term load forecasting. |
| Anahtar Kelimeler |
