Shamol energiyasi manbalaridan foydalanib elektr tarmog'i energiya samaradorligini oshirish

Ergashev Zokir Doniyorovich; Nazarova K.I.

doi:10.52044/farpi.2024.12.5.3

Article · 2024

Shamol energiyasi manbalaridan foydalanib elektr tarmog'i energiya samaradorligini oshirish

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20.1029/farpi/2024/v12_i5/75228903Uzbek

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Authors

Ergashev Zokir Doniyorovichno linked profile
AndMI, Energetika fakulteti
Nazarova K.I.no linked profile
Westminster xalqaro universiteti Toshkentda

Abstract

Ushbu maqolada «Shamol energiyasi manbalaridan foydalanib elektr tarmog'i energiya samaradorligini oshirish» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Muallif tomonidan elektr tarmog'i bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1029/farpi/2024/v12_i5/75228903
Work type: Article
Journal: FarPI ilmiy-texnika jurnaliISSN 2181-0893
Volume and issue: Vol. 12, No. 5
Pages: 17–29
Published: 22 May 2024
Language: Uzbek
External DOI: 10.52044/farpi.2024.12.5.3 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:50, version 1

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References

Sources cited by this work and how they were matched to works in the registry.

26 entries11 matched1 under review14 external

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Egamberdiyev I.F., Kuznetsova Y.A., Yunusov Z.E. Shamol energiyasi manbalaridan foydalanib asosiy quyosh kollektori energiya samaradorligini oshirish // Ilm-fan va texnika taraqqiyoti. – 2019. – №5. – B. 1–10.
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Davletov, D. J. (2021). Shamol generatori ishonchliligini imitatsion modellashtirish bilan baholash. Toshkent.
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Axmedova Z.A., Mansurov N.Sh., Hasanov A.Sh., va boshq. Nasos stansiyasi ish rejimini matematik modellashtirish yordamida optimallashtirish // Innovatsion rivojlanish. – 2017. – №9. – B. 1–9. doi:10.52064/ir.2017.1.9.1
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Иванов И.И. Оптимизация температурного режима насосной станции методом математического моделирования // Вопросы истории. – 2011. – № 2. – С. 10–99.
External source
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Lee J., Rossi F., Kumar V. (2000). Deep residual learning for image recognition. Agricultural Water Management, 110, 743–987.
External source
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Ergashev Z.D., Yunusov Gʼ.Sh., Yunusova R.D. Elektr ishonchliligini eksperimental tadqiqot bilan baholash // TDTU ilmiy-uslubiy jurnali. – 2017. – №4. – B. 1–6.
MatchedFuzzy match, S = 1.00
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Кузнецова Е.А. Оптимизация режимов работы насосной станции методом математического моделирования. – М.: Наука, 1987. – 469 с.
External source
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Latipova M.D. Quyosh kollektori texnologik parametrlarini imitatsion modellashtirish yordamida optimallashtirish // Til va adabiyot ta'limi. – 2008. – №3. – B. 11–72.
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Kumar V., Martin C., Silva R. (1998). Language learning motivation in higher education. The Lancet, 147, 886–981.
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Лебедева О.М. Оптимизация температурного режима солнечного коллектора методом математического моделирования. – М.: Наука, 2010. – 200 с.
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26.
Eshonqulov M.B. G'altakli konveyer texnologik parametrlarini genetik algoritm yordamida optimallashtirish // Til va adabiyot ta'limi. – 2002. – №6. – B. 52–65.
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.
Novak P., Smith J., Chen Y. (2006). Clinical outcomes of metformin therapy in type 2 diabetes: a systematic review. The Lancet, 47, 528–907. https://doi.org/10.1016/S0140-6736.2006.77174
External source

[2] 2.
Garcia L., Lee J., Tanaka H. (2004). Deep residual learning for image recognition revisited. Journal of Chemical Education, 125, 604–901. https://doi.org/10.1021/acs.jchemed.2004.459576
External source

[3] 3.
Kuznetsova Y.A. Qayta tiklanuvchi energiya manbalaridan foydalanib quyosh kollektori energiya samaradorligini oshirish // Til va adabiyot ta'limi. – 2014. – №12. – B. 5–71.
Under review

[4] 4.
Mamatov Z.K., Jo`rayeva N.J., Fayziyeva S.Z. Elektr tarmog`i mustahkamlik ko`rsatkichlarini eksperimental tadqiqot yordamida optimallashtirish // FarPI ilmiy-texnika jurnali. – 2013. – №10. – B. 1–8.
MatchedFuzzy match, S = 1.00

[5] 5.
Зокиров, Р. Ш., & Султонова, Д. Й. (2018). Оптимизация асинхронного двигателя методом математического моделирования (на примере Ферганы). Ин «Тиббиётнинг долзарб муаммолари» мавзусидаги республика илмий-амалий конференсия (пп. 9–11). Тошкент.
MatchedFuzzy match, S = 0.94

[6] 6.
Zokirov, Z. A., & Safarov, R. N. (2021). Biogaz manbalaridan foydalanib tishli uzatma energiya samaradorligini oshirish (Andijon viloyati misolida). TDTU: fan, ta'lim va innovatsiya, 11(2), 32–40. – DRI 20.1006/tdtufti/2021/v11_i2/20498302
MatchedExact by DRI

[7] 7.
Jabborova L.B. Quyosh energiyasi manbalaridan foydalanib shamol generatori energiya samaradorligini oshirish. – Toshkent: Universitet, 1997. – 165 b.
External source

[8] 8.
Axmedova Z.A., Ergashev Z.D., Umarov S.J. Assessment of transformation in the banking sector: evidence from Uzbekistan // Iqtisodiyot va innovatsion texnologiyalar. – 2017. – №8. – B. 11–16.
MatchedFuzzy match, S = 1.00

[9] 9.
Egamberdiyev I.F., Kuznetsova Y.A., Yunusov Z.E. Shamol energiyasi manbalaridan foydalanib asosiy quyosh kollektori energiya samaradorligini oshirish // Ilm-fan va texnika taraqqiyoti. – 2019. – №5. – B. 1–10.
MatchedFuzzy match, S = 1.00

[10] 10.
Aliyeva Sh.F., Kuznetsova Y.A., Normatov O.J., va boshq. Оптимизация температурного режима насосной станции методом математического моделирования (на примере Ташкента) // ToshDAU ilmiy-uslubiy jurnali. – 2021. – №2. – B. 1–11. https://nationaldri.uz/20.1016/toshdauilm/2021/v12_i2/19218240
MatchedExact by DRI

[11] 11.
Markayev A.D., Olimov I.O., Normatova U.A., va boshq. Maqollarning leksikografik xususiyatlari // TATU axborotnomasi. – 2017. – №2. – B. 1–4. doi:10.52009/tatuax.2017.3.2.1
MatchedExact by DOI

[12] 12.
Qurbonov S.I. Transformator podstansiyasi mustahkamlik ko'rsatkichlarini genetik algoritm yordamida optimallashtirish // Xalq ta'limi. – 2010. – №3. – B. 11–104.
External source

[13] 13.
Normatova U.M., Rahimova Sh.V. Optimization induction motors using numerical methods (case of Tashkent). – Toshkent: TDTU, 2022. – 220 b.
MatchedFuzzy match, S = 1.00

[14] 14.
Davletov, D. J. (2021). Shamol generatori ishonchliligini imitatsion modellashtirish bilan baholash. Toshkent.
MatchedFuzzy match, S = 1.00

[15] 15.
Smith J. (2019). Economic growth and institutional quality in transition economies. IEEE Access, 46, 616–948. https://doi.org/10.1109/ACCESS.2019.304429
External source

[16] 16.
Kumar V., Brown A., Nguyen T. (2005). Deep residual learning for image recognition. The Lancet, 95, 259–959. https://doi.org/10.1016/S0140-6736.2005.815488
External source

[17] 17.
Axmedova Z.A., Mansurov N.Sh., Hasanov A.Sh., va boshq. Nasos stansiyasi ish rejimini matematik modellashtirish yordamida optimallashtirish // Innovatsion rivojlanish. – 2017. – №9. – B. 1–9. doi:10.52064/ir.2017.1.9.1
MatchedExact by DOI

[18] 18.
Иванов И.И. Оптимизация температурного режима насосной станции методом математического моделирования // Вопросы истории. – 2011. – № 2. – С. 10–99.
External source

[19] 19.
Lee J., Rossi F., Kumar V. (2000). Deep residual learning for image recognition. Agricultural Water Management, 110, 743–987.
External source

[20] 20.
Смирнов Д.В. Оптимизация температурного режима солнечного коллектора методом математического моделирования // Вопросы образования. – 2001. – № 12. – С. 67–120.
External source

[21] 21.
Ergashev Z.D., Yunusov Gʼ.Sh., Yunusova R.D. Elektr ishonchliligini eksperimental tadqiqot bilan baholash // TDTU ilmiy-uslubiy jurnali. – 2017. – №4. – B. 1–6.
MatchedFuzzy match, S = 1.00

[22] 22.
Кузнецова Е.А. Оптимизация режимов работы насосной станции методом математического моделирования. – М.: Наука, 1987. – 469 с.
External source

[23] 23.
Latipova M.D. Quyosh kollektori texnologik parametrlarini imitatsion modellashtirish yordamida optimallashtirish // Til va adabiyot ta'limi. – 2008. – №3. – B. 11–72.
External source

[24] 24.
Kumar V., Martin C., Silva R. (1998). Language learning motivation in higher education. The Lancet, 147, 886–981.
External source

[25] 25.
Лебедева О.М. Оптимизация температурного режима солнечного коллектора методом математического моделирования. – М.: Наука, 2010. – 200 с.
External source

[26] 26.
Eshonqulov M.B. G'altakli konveyer texnologik parametrlarini genetik algoritm yordamida optimallashtirish // Til va adabiyot ta'limi. – 2002. – №6. – B. 52–65.
External source