MIKROGES ISHLAB CHIQARISH QUVVATINI BASHORAT QILISHDA LSTM NEYRON TARMOG'IDAN FOYDALANISH
Keywords:
mikroGES, LSTM, neyron tarmoq, energiya bashorati, vaqt qatorlari, qayta tiklanuvchi energiya, PythonAbstract
Ushbu maqolada mikrogidroelektrostantsiyalar (mikroGES) tomonidan ishlab chiqariladigan elektr quvvatini oldindan bashorat qilish masalasi ko'rib chiqilgan. Bashorat uchun LSTM (Long Short-Term Memory) neyron tarmog'i tanlangan, chunki bu model suv sarfi, yog'in va harorat kabi vaqt bo'yicha o'zgarib turadigan ko'rsatkichlar bilan yaxshi ishlaydi. Maqolada modelning ishlash prinsipi, kerakli kirish ma'lumotlari va bashorat sifatini baholash usullari (RMSE, MAE, R²) tushuntirilgan. Tadqiqot O'zbekistonning tog'li hududlarida qurilayotgan mikroGES uchun amaliy ahamiyatga ega.
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Published
17.05.2026
Conference Proceedings Volume
Section
Articles
How to Cite
MIKROGES ISHLAB CHIQARISH QUVVATINI BASHORAT QILISHDA LSTM NEYRON TARMOG’IDAN FOYDALANISH. (2026). International Conference on "Current Issues in the Development of Science and Education", 2(2), 21-25. https://ibratprint.uz/index.php/ibratprint/article/view/453


