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Conference object . 2025
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Article . 2025
License: CC BY
Data sources: Datacite
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Article . 2025
License: CC BY
Data sources: Datacite
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QUYOSH PANELLARINING SOVUTISH TIZIMLARINI OPTIMALLASHTIRISHDA SUN'IY INTELLEKT (AI) TEXNOLOGIYALARINING QO'LLANILISHI

Authors: Sharifova Madina;

QUYOSH PANELLARINING SOVUTISH TIZIMLARINI OPTIMALLASHTIRISHDA SUN'IY INTELLEKT (AI) TEXNOLOGIYALARINING QO'LLANILISHI

Abstract

Ushbu ishda quyosh panellarining sovutish tizimlarini optimallashtirishda sun’iy intellekt (AI) texnologiyalarining ahamiyati o‘rganiladi. Adabiyotlar tahlili shuni ko‘rsatadiki, mashinaviy o‘rganish, neyron tarmoqlar va genetik algoritmlar asosidagi modellar yordamida panellar harorati va sovutish tizimlari samaradorligini boshqarish mumkin. Sun’iy intellekt real vaqt rejimida ma’lumotlarni tahlil qilib, optimal sovutish strategiyasini tanlaydi.

Keywords

quyosh panellari, sun'iy intellekt, mashinaviy o'rganish, sovutish tizimi, optimallashtirish, energiya samaradorligi.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green