MIKROGES ISHLAB CHIQARISH QUVVATINI BASHORAT QILISHDA LSTM NEYRON TARMOG'IDAN FOYDALANISH

Authors

  • Sattarov Abrorbek Nodirjon o'g'li Author

Keywords:

mikroGES, LSTM, neyron tarmoq, energiya bashorati, vaqt qatorlari, qayta tiklanuvchi energiya, Python

Abstract

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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Author Biography

  • Sattarov Abrorbek Nodirjon o'g'li

    Namangan davlat texnika universiteti,

    Kompyuter texnologiyalari va ularning dasturiy ta'minoti

    yo'nalishi 2-kurs magistranti

Published

17.05.2026

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

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