Marketing 2-son (2026)

MINTAQAVIY ENERGIYA TA'MINOTI TIZIMLARINI TAKOMILLASHTIRISHNING ZAMONAVIY YONDASHUVLARI

Masharipov Aziz Axmadjanovich

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Annotatsiya

AbstractThis article analysed modern models for optimizing regional energy supplysystems. The study conducted a comparative evaluation of linear programming,stochastic optimization, and hybrid models based on artificial intelligence. Energyefficiency indicators of Uzbekistanʼs regions were assessed using statistical data.Differences in regional energy supply efficiency were identified and optimizationresults were evaluated. Opportunities for integrating renewable energy sources into theenergy system were examined based on international data sources. The role of SmartGrid technologies and IoT sensors in energy distribution management was analysed.The findings demonstrated that hybrid AI-based models improved the efficiency ofregional energy systems. The results were considered as a practical basis for improvingregional energy management and optimization strategies.Keywords: energy system optimization, Smart Grid, renewable energy, artificialintelligence, regional energy efficiency, hybrid models.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.

Iqtibos olish

APA 7
Masharipov Aziz Axmadjanovich (2026). MINTAQAVIY ENERGIYA TA'MINOTI TIZIMLARINI TAKOMILLASHTIRISHNING ZAMONAVIY YONDASHUVLARI. Marketing, (2).
GOST R 7.0.5
Masharipov Aziz Axmadjanovich MINTAQAVIY ENERGIYA TA'MINOTI TIZIMLARINI TAKOMILLASHTIRISHNING ZAMONAVIY YONDASHUVLARI // Marketing. 2026. № 2.
BibTeX
@article{axmadjanovich2026,
  author  = {Masharipov Aziz Axmadjanovich},
  title   = {MINTAQAVIY ENERGIYA TA'MINOTI TIZIMLARINI TAKOMILLASHTIRISHNING ZAMONAVIY YONDASHUVLARI},
  journal = {Marketing},
  year    = {2026},
  number  = {2}
}
RIS
TY  - JOUR
AU  - Masharipov Aziz Axmadjanovich
TI  - MINTAQAVIY ENERGIYA TA'MINOTI TIZIMLARINI TAKOMILLASHTIRISHNING ZAMONAVIY YONDASHUVLARI
JO  - Marketing
PY  - 2026
IS  - 2
ER  -