SUN’IY INTELLEKT TEXNOLOGIYALARI ASOSIDA AQLLI QURILMALARDA ENERGIYA SAMARADORLIGINI BOSHQARISH ALGORITMI

Authors

  • Zulqaynar Yo‘ldoshev University of Management and Future Technologies universiteti magistranti
  • Baxtiyor Akmuradov University of Management and Future Technologies universiteti dotsenti

Abstract

Ushbu ishda AI asosidagi IoT tizimlarida energiyani samarali boshqarish usullari, xususan IRBEOA algoritmi tahlil qilingan. AI va mIoT integratsiyasi orqali quvvat sarfini kamaytirish, tizim samaradorligini oshirish va real sohalarda qo‘llash imkoniyatlari ko‘rib chiqilgan.

References

1. Ming J., et al. – "Energy Management Systems in China" – Renewable and Sustainable Energy Reviews, 2019.

2. Wang J., et al. – "EMS in North America: System stability and cost reduction" – International Journal of Energy Research, 2020.

3. Alasseri H. M., et al. – "EMS Adoption in Turkey: Economic and technical challenges" – Energy Reports, 2021.

4. Cappers P., et al. – "DSM and its secondary benefits in power systems" – IEEE Transactions on Power Systems, 2022.

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Published

2025-05-04

How to Cite

Zulqaynar Yo‘ldoshev, & Baxtiyor Akmuradov. (2025). SUN’IY INTELLEKT TEXNOLOGIYALARI ASOSIDA AQLLI QURILMALARDA ENERGIYA SAMARADORLIGINI BOSHQARISH ALGORITMI. Science, Education, Innovation: Modern Tasks and Prospects, 2(5), 1–4. Retrieved from https://incop.org/index.php/sc/article/view/1365

Issue

Vol. 2 No. 5 (2025): Science, education, innovation: modern tasks and prospects

Section

Articles