Quyosh energiyasi manbalaridan foydalanib paxta tozalash mashinasi energiya samaradorligini oshirish (Surxondaryo viloyati misolida)

Toshpo'latov Jamshid

Dissertation · 2025

Quyosh energiyasi manbalaridan foydalanib paxta tozalash mashinasi energiya samaradorligini oshirish (Surxondaryo viloyati misolida)

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20.1029/diss/d2025/72384856Uzbek

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Toshpo'latov Jamshidno linked profile
Fergana Polytechnic Institute

Abstract

Ushbu maqolada «Quyosh energiyasi manbalaridan foydalanib paxta tozalash mashinasi energiya samaradorligini oshirish (Surxondaryo viloyati misolida)» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Natijalar paxta tozalash mashinasi samaradorligini oshirishga xizmat qiladi.

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Bibliographic details

DRI: 20.1029/diss/d2025/72384856
Work type: Dissertation
Published: 14 May 2025
Language: Uzbek
Subject: Texnika
Passport mirror: synced 21/09/2026, 16:51, version 3

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References

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26 entries14 matched2 under review10 external

1.
Волков А.Н. Оптимизация энергопотребления солнечного коллектора методом математического моделирования. – М.: Наука, 2004. – 471 с.
External source
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Rasulova, G. D. (2023). Optimization of solar collectors using mathematical modelling (case of Khorezm) 81. Toshkent. URL: https://nationaldri.uz/20.3001/diss/d2023/29656984
MatchedExact by DRI→ Optimization of solar collectors using mathematical modelling (case of Khorezm) 81
3.
Toshpo'latov J.J. Optimization of solar collectors using numerical mthods (case of Bukhara) // «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2023. – B. 23–24. – DRI 20.1009/namduconf2023/2023/39955615
MatchedExact by DRI
4.
Tursunov M.A., Sultonov B.V. Erkin Vohidov ijodida mifologik motivlarning badiiy ba'zi talqini // FarDU ilmiy xabarlar. – 2013. – №3. – B. 1–4.
MatchedFuzzy match, S = 1.00
5.
Latipova, Z. G'. (2025). Kompressor qurilmasi mustahkamlik ko'rsatkichlarini eksperimental tadqiqot yordamida optimallashtirish. Toshkent.
MatchedFuzzy match, S = 1.00
6.
Toshpo'latov, J. J. (2021). Оптимизация режимов работы солненчого коллектора методом математического моделирования (на примере Самарканда) 44. In «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 23–25). Toshkent.
MatchedFuzzy match, S = 0.99
7.
Морозова Н.Г. Оптимизация режимов работы асинхронного двигателя методом математического моделирования. – М.: Наука, 2014. – 185 с.
Under review
8.
Latipov, Sh. A., & Volkov, A. N. (2020). Surxondaryo viloyati endemik turlari biologik xususiyatlari. In «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 96–97). Toshkent.
MatchedFuzzy match, S = 1.00
9.
Aliyev, U. K. (2022). Kompressor qurilmasi texnologik parametrlarini eksperimental tadqiqot yordamida optimallashtirish. Temir yo'l transporti muammolari, 1–8.
MatchedFuzzy match, S = 1.00
10.
Haydarova M.U. Quyosh kollektori ishonchliligini neyron tarmoqlar bilan baholash. – Toshkent: O‘qituvchi, 1995. – 246 b.
Under review
11.
Johnson M. (2003). Renewable energy transition in Central Asia: a systematic review. Agricultural Water Management, 168, 199–904. DOI: 10.1016/j.agwat.2003.150883
External source
12.
Петрова А.С. Оптимизация режимов работы солнечного коллектора методом математического моделирования. – М.: Наука, 2001. – 269 с.
External source
13.
Toshpo'latov J.J., Wang L. Optimization of power distribution networks using mathematical modelling (case of Tashkent) 52 // TDTU: fan, ta'lim va innovatsiya. – 2024. – №2. – B. 47–50. DRI: 20.1006/tdtufti/2024/v14_i2/76503974
MatchedExact by DRI
14.
Kamolova G.S. Paxta tozalash mashinasi tebranish xarakteristikalarini neyron tarmoqlar yordamida optimallashtirish // TDTU ilmiy-uslubiy jurnali. – 2020. – №1. – B. 14–26.
MatchedFuzzy match, S = 1.00
15.
Zokirova, M. I., Aliyev, Z. I., & Valiyeva, Sh. U. (2024). Shamol generatori uchun bazalt tolasi asosida yangi konstruksiya ishlab chiqish (Xorazm viloyati. FarPI ilmiy-texnika jurnali, 12(12), 1–4.
MatchedFuzzy match, S = 1.00
16.
Hasanov U.O. Tishli uzatma ishonchliligini matematik modellashtirish bilan baholash: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2023. – 126 b. https://nationaldri.uz/20.1006/diss/d2023/54540729
MatchedExact by DRI
17.
O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source
18.
Qurbonova G.M., Saidov Sh.K., Nurmatova Z.F., va boshq. Optimiztion of power distribution networks using mathematical modelling (case of Khorezm) // Texnika yulduzlari. – 2024. – №4. – B. 11–17. https://nationaldri.uz/20.1006/ty/2024/i4/11977295
MatchedExact by DRI
19.
Müller K. Transformator podstansiyasi tebranish xarakteristikalarini genetik algoritm yordamida optimallashtirish. – Toshkent: Fan, 2003. – 108 b.
External source
20.
Nguyen T. (2024). Economic growth and institutional quality in transition economies: a systematic review. Physical Review B, 168, 828–966. https://doi.org/10.1103/PhysRevB.2024.103284
External source
21.
Saidov O.R., Aliyeva Sh.F., Hamroyeva M.N. Asinxron dvigatel harorat rejimini eksperimental tadqiqot yordamida optmallashtirish // Temir yo`l transporti muammolari. – 2021. – №6. – B. 11–14.
MatchedFuzzy match, S = 1.00
22.
Norqulov, T. A., & Egamberdiyev, S. A. (2013). Оптимизация режимов работы асинхронного двиагтеля методом математического моделирования. TDTU ilmiy-uslubiy jurnali, 5(4), 10–21. URL: https://nationaldri.uz/20.1006/tdtuilm/2013/v5_i4/37987714
MatchedExact by DRI
23.
Johnson M., Martin C., Kim S. (2008). Economic growth and institutional quality in transition economies in developing countries. Educational Psychology Review, 143, 783–963. DOI: 10.1007/s10648.2008.884254
External source
24.
Petrova A.S. Quyosh kollektori ishonchliligini matematik modellashtirish bilan baholash. – Toshkent: Adabiyot uchqunlari, 2013. – 197 b.
External source
25.
Lee J., Schmidt P. (1999). Deep residual learning for image recognition: evidence from panel data. The Lancet, 65, 758–919. DOI: 10.1016/S0140-6736.1999.899065
External source
26.
Martin C., Wang L., Brown A. (2024). Teacher professional development in digital learning environments. Agricultural Water Management, 56, 364–939. https://doi.org/10.1016/j.agwat.2024.933612
External source

Citing works

Works in the registry that cite this work, newest first.

This work has not been cited yet

When other works in the registry cite this work, they will appear here.

[1] 1.
Волков А.Н. Оптимизация энергопотребления солнечного коллектора методом математического моделирования. – М.: Наука, 2004. – 471 с.
External source

[2] 2.
Rasulova, G. D. (2023). Optimization of solar collectors using mathematical modelling (case of Khorezm) 81. Toshkent. URL: https://nationaldri.uz/20.3001/diss/d2023/29656984
MatchedExact by DRI→ Optimization of solar collectors using mathematical modelling (case of Khorezm) 81

[3] 3.
Toshpo'latov J.J. Optimization of solar collectors using numerical mthods (case of Bukhara) // «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2023. – B. 23–24. – DRI 20.1009/namduconf2023/2023/39955615
MatchedExact by DRI

[4] 4.
Tursunov M.A., Sultonov B.V. Erkin Vohidov ijodida mifologik motivlarning badiiy ba'zi talqini // FarDU ilmiy xabarlar. – 2013. – №3. – B. 1–4.
MatchedFuzzy match, S = 1.00

[5] 5.
Latipova, Z. G'. (2025). Kompressor qurilmasi mustahkamlik ko'rsatkichlarini eksperimental tadqiqot yordamida optimallashtirish. Toshkent.
MatchedFuzzy match, S = 1.00

[6] 6.
Toshpo'latov, J. J. (2021). Оптимизация режимов работы солненчого коллектора методом математического моделирования (на примере Самарканда) 44. In «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 23–25). Toshkent.
MatchedFuzzy match, S = 0.99

[7] 7.
Морозова Н.Г. Оптимизация режимов работы асинхронного двигателя методом математического моделирования. – М.: Наука, 2014. – 185 с.
Under review

[8] 8.
Latipov, Sh. A., & Volkov, A. N. (2020). Surxondaryo viloyati endemik turlari biologik xususiyatlari. In «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 96–97). Toshkent.
MatchedFuzzy match, S = 1.00

[9] 9.
Aliyev, U. K. (2022). Kompressor qurilmasi texnologik parametrlarini eksperimental tadqiqot yordamida optimallashtirish. Temir yo'l transporti muammolari, 1–8.
MatchedFuzzy match, S = 1.00

[10] 10.
Haydarova M.U. Quyosh kollektori ishonchliligini neyron tarmoqlar bilan baholash. – Toshkent: O‘qituvchi, 1995. – 246 b.
Under review

[11] 11.
Johnson M. (2003). Renewable energy transition in Central Asia: a systematic review. Agricultural Water Management, 168, 199–904. DOI: 10.1016/j.agwat.2003.150883
External source

[12] 12.
Петрова А.С. Оптимизация режимов работы солнечного коллектора методом математического моделирования. – М.: Наука, 2001. – 269 с.
External source

[13] 13.
Toshpo'latov J.J., Wang L. Optimization of power distribution networks using mathematical modelling (case of Tashkent) 52 // TDTU: fan, ta'lim va innovatsiya. – 2024. – №2. – B. 47–50. DRI: 20.1006/tdtufti/2024/v14_i2/76503974
MatchedExact by DRI

[14] 14.
Kamolova G.S. Paxta tozalash mashinasi tebranish xarakteristikalarini neyron tarmoqlar yordamida optimallashtirish // TDTU ilmiy-uslubiy jurnali. – 2020. – №1. – B. 14–26.
MatchedFuzzy match, S = 1.00

[15] 15.
Zokirova, M. I., Aliyev, Z. I., & Valiyeva, Sh. U. (2024). Shamol generatori uchun bazalt tolasi asosida yangi konstruksiya ishlab chiqish (Xorazm viloyati. FarPI ilmiy-texnika jurnali, 12(12), 1–4.
MatchedFuzzy match, S = 1.00

[16] 16.
Hasanov U.O. Tishli uzatma ishonchliligini matematik modellashtirish bilan baholash: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2023. – 126 b. https://nationaldri.uz/20.1006/diss/d2023/54540729
MatchedExact by DRI

[17] 17.
O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source

[18] 18.
Qurbonova G.M., Saidov Sh.K., Nurmatova Z.F., va boshq. Optimiztion of power distribution networks using mathematical modelling (case of Khorezm) // Texnika yulduzlari. – 2024. – №4. – B. 11–17. https://nationaldri.uz/20.1006/ty/2024/i4/11977295
MatchedExact by DRI

[19] 19.
Müller K. Transformator podstansiyasi tebranish xarakteristikalarini genetik algoritm yordamida optimallashtirish. – Toshkent: Fan, 2003. – 108 b.
External source

[20] 20.
Nguyen T. (2024). Economic growth and institutional quality in transition economies: a systematic review. Physical Review B, 168, 828–966. https://doi.org/10.1103/PhysRevB.2024.103284
External source

[21] 21.
Saidov O.R., Aliyeva Sh.F., Hamroyeva M.N. Asinxron dvigatel harorat rejimini eksperimental tadqiqot yordamida optmallashtirish // Temir yo`l transporti muammolari. – 2021. – №6. – B. 11–14.
MatchedFuzzy match, S = 1.00

[22] 22.
Norqulov, T. A., & Egamberdiyev, S. A. (2013). Оптимизация режимов работы асинхронного двиагтеля методом математического моделирования. TDTU ilmiy-uslubiy jurnali, 5(4), 10–21. URL: https://nationaldri.uz/20.1006/tdtuilm/2013/v5_i4/37987714
MatchedExact by DRI

[23] 23.
Johnson M., Martin C., Kim S. (2008). Economic growth and institutional quality in transition economies in developing countries. Educational Psychology Review, 143, 783–963. DOI: 10.1007/s10648.2008.884254
External source

[24] 24.
Petrova A.S. Quyosh kollektori ishonchliligini matematik modellashtirish bilan baholash. – Toshkent: Adabiyot uchqunlari, 2013. – 197 b.
External source

[25] 25.
Lee J., Schmidt P. (1999). Deep residual learning for image recognition: evidence from panel data. The Lancet, 65, 758–919. DOI: 10.1016/S0140-6736.1999.899065
External source

[26] 26.
Martin C., Wang L., Brown A. (2024). Teacher professional development in digital learning environments. Agricultural Water Management, 56, 364–939. https://doi.org/10.1016/j.agwat.2024.933612
External source