Qayta tiklanuvchi energiya manbalaridan foydalanib issiqlik almashtirgich energiya samaradorligini oshirish (Xorazm viloyati misolida)

To'xtayeva Sevara Mansurovna; To'xtayev B.N.

Article · 2026

Qayta tiklanuvchi energiya manbalaridan foydalanib issiqlik almashtirgich energiya samaradorligini oshirish (Xorazm viloyati misolida)

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20.1006/ty/2026/i5/62953159Uzbek

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To'xtayeva Sevara Mansurovnano linked profile
TDTU, Qurilish fakulteti
To'xtayev B.N.no linked profile
Belarus davlat universiteti

Abstract

Ushbu maqolada «Qayta tiklanuvchi energiya manbalaridan foydalanib issiqlik almashtirgich energiya samaradorligini oshirish (Xorazm viloyati misolida)» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Natijalar issiqlik almashtirgich samaradorligini oshirishga xizmat qiladi.

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Bibliographic details

DRI: 20.1006/ty/2026/i5/62953159
Work type: Article
Journal: Texnika yulduzlariISSN 2181-0311
Volume and issue: No. 5
Pages: 19–28
Published: 25 May 2026
Language: Uzbek
Subject: Arxitektura
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 17:50, version 2

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References

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9 entries2 matched2 under review5 external

1.
Normatova S.I., To'xtayeva S.M., Qurbonova Sh.A. Optimization of pumping ba'zi stations using numerical methods (ase of Khorezm) // TDTU: fan, ta'lim va innovatsiya. – 2023. – №2. – B. 7–14.
MatchedFuzzy match, S = 0.95→ Optimization of pumping stations using numerical methods (case of Khorezm)
2.
Волков А.Н. Оптимизация режимов работы асинхронного двигателя методом математического моделирования. – М.: Наука, 2014. – 259 с.
Under review
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Smith J. (2012). Machine learning methods for credit scoring. Applied Linguistics, 155, 825–909. DOI: 10.1093/applin.2012.671642
External source
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Chen Y., Schmidt P. (2009). Blockchain applications in public administration in developing countries. IEEE Access, 78, 699–984. https://doi.org/10.1109/ACCESS.2009.79154
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Brown A., Kumar V., Johnson M. (2017). Gamification in education: a systematic review. Computers & Education, 148, 256–939. DOI: 10.1016/j.compedu.2017.854307
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Roʼziyeva I.A., Sharipova Sh.K. Оптимизация температурного режима асинхронного двигателя методом математического моделирования // «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2014. – B. 11–13.
MatchedFuzzy match, S = 1.00
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Sharipova I.U. Elektr tarmog'i ishonchliligini genetik algoritm bilan baholash. – Toshkent: Adabiyot uchqunlari, 2025. – 197 b.
Under review
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Rossi F., Tanaka H., Schmidt P. (2004). Machine learning methods for credit scoring. Journal of Economic Perspectives, 163, 734–935.
External source

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[1] 1.
Normatova S.I., To'xtayeva S.M., Qurbonova Sh.A. Optimization of pumping ba'zi stations using numerical methods (ase of Khorezm) // TDTU: fan, ta'lim va innovatsiya. – 2023. – №2. – B. 7–14.
MatchedFuzzy match, S = 0.95→ Optimization of pumping stations using numerical methods (case of Khorezm)

[2] 2.
Волков А.Н. Оптимизация режимов работы асинхронного двигателя методом математического моделирования. – М.: Наука, 2014. – 259 с.
Under review

[3] 3.
Smith J. (2012). Machine learning methods for credit scoring. Applied Linguistics, 155, 825–909. DOI: 10.1093/applin.2012.671642
External source

[4] 4.
Chen Y., Schmidt P. (2009). Blockchain applications in public administration in developing countries. IEEE Access, 78, 699–984. https://doi.org/10.1109/ACCESS.2009.79154
External source

[5] 5.
Кузнецова Е.А. Оптимизация температурного режима асинхронного двигателя методом математического моделирования // Экономика и математические методы. – 2007. – № 2. – С. 87–125.
External source

[6] 6.
Brown A., Kumar V., Johnson M. (2017). Gamification in education: a systematic review. Computers & Education, 148, 256–939. DOI: 10.1016/j.compedu.2017.854307
External source

[7] 7.
Roʼziyeva I.A., Sharipova Sh.K. Оптимизация температурного режима асинхронного двигателя методом математического моделирования // «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2014. – B. 11–13.
MatchedFuzzy match, S = 1.00

[8] 8.
Sharipova I.U. Elektr tarmog'i ishonchliligini genetik algoritm bilan baholash. – Toshkent: Adabiyot uchqunlari, 2025. – 197 b.
Under review

[9] 9.
Rossi F., Tanaka H., Schmidt P. (2004). Machine learning methods for credit scoring. Journal of Economic Perspectives, 163, 734–935.
External source