ENERGIYA MANBALARINI OPTIMALLASHTIRISHDA SUN’IY INTELLEKT ASOSIDAGI INNOVATSION YONDASHUV

Authors

  • Eltazarov Baxtiyor Tajibayevich “Islom Karimov nomidagi Toshkent davlat texnika universiteti” dotsenti b.eltazarov@tdtu.uz Author
  • Mamatmo‘minov Otabek Musa o‘g‘li Author

Keywords:

sun’iy intellekt, energetika, energiya manbalari, qayta tiklanuvchi energiya, smart grid, energiya samaradorligi, raqamli texnologiyalar.

Abstract

Mazkur ilmiy maqolada sun’iy intellekt texnologiyalarining energetika sohasiga ta’siri, xususan, energiya manbalaridan samarali foydalanish, energiya ishlab chiqarish jarayonlarini optimallashtirish hamda barqaror energetika tizimini shakllantirishdagi o‘rni tahlil qilinadi. Bugungi kunda global miqyosda energiya resurslariga bo‘lgan talabning ortib borishi, iqlim o‘zgarishi va ekologik muammolar sharoitida sun’iy intellekt asosidagi yechimlar energetika tarmog‘ida muhim innovatsion omil sifatida namoyon bo‘lmoqda. Tadqiqot davomida sun’iy intellektning an’anaviy va qayta tiklanuvchi energiya manbalariga ta’siri, uning ijtimoiy-iqtisodiy va ekologik samaradorligi ilmiy-nazariy jihatdan yoritiladi.

References

1. Mitchell, T. M. Machine Learning. New York: McGraw-Hill, 1997.

2. Goodfellow, I., Bengio, Y., Courville, A. Deep Learning. Cambridge: MIT Press, 2016.

3. International Energy Agency (IEA). Digitalisation and Energy. Paris: IEA, 2017. URL: https://www.iea.org/reports/digitalisation-and-energy

4. International Renewable Energy Agency (IRENA). Artificial Intelligence and the Energy Sector. Abu Dhabi, 2019. URL: https://www.irena.org

5. BP. Statistical Review of World Energy. London: BP, latest edition. URL: https://www.bp.com/statisticalreview

6. World Economic Forum. Harnessing Artificial Intelligence for the Earth. Geneva, 2018. URL: https://www.weforum.org

7. European Commission. Digitalisation of Energy – Action Plan. Brussels, 2020. URL: https://energy.ec.europa.eu

8. U.S. Department of Energy. Artificial Intelligence and Energy Systems. Washington, D.C., 2021. URL: https://www.energy.gov

9. McKinsey & Company. Artificial Intelligence in Energy: Driving Efficiency and Sustainability. New York, 2019. URL: https://www.mckinsey.com

10. Deloitte. Predictive Maintenance and AI in the Energy Industry. London, 2020. URL: https://www2.deloitte.com

11. IEEE Power & Energy Society. Artificial Intelligence Applications in Power Systems. IEEE Xplore Digital Library. URL: https://ieeexplore.ieee.org

12. State Grid Corporation of China. AI Applications in Power Systems. Beijing, 2021. URL: https://www.sgcc.com.cn

13. Google DeepMind. Deep Learning for Energy Efficiency in Data Centers. London, 2016. URL: https://deepmind.google

14. Tesla Inc. Artificial Intelligence and Energy Storage Systems. Palo Alto, 2022. URL: https://www.tesla.com/energy

15. Siemens Energy. Digital Transformation in the Energy Sector. Munich, 2021. URL: https://www.siemens-energy.com

Downloads

Published

2026-01-20