Load forecasting and equipment optimization in renewable energy integration

Turaxanov Sherzod Shadiyarovich, Тураханов Шерзод Шадиярович, Turaxanov Sherzod Shadiyarovich

Research Focus · 2025-yil

Annotatsiya

This paper presents a two-layer integrated framework for load forecasting and equipment optimization under renewable energy integration. The first layer delivers day-ahead and near real-time forecasts using a hybrid LSTM–Transformer model trained on SCADA/AMI data enriched with weather and calendar features. The second layer performs multi-objective MILP optimization combined with Model Predictive Control (MPC) to coordinate capacitor banks, voltage regulators/OLTC, inverter PQ dispatch, demand response (DR) signals, and energy storage, while explicitly accounting for forecast uncertainty. Simulation results indicate reduced technical losses and voltage violations, lower renewable curtailment, transformer loading relief, and improved operational costs. By unifying the forecast–control loop within a smart-grid context, the proposed approach enhances network resiliency and overall energy efficiency.

Maqola ma’lumotlari
MualliflarTuraxanov Sherzod Shadiyarovich, Тураханов Шерзод Шадиярович, Turaxanov Sherzod Shadiyarovich
JurnalResearch Focus
NashriyotВетеринария ИТИ ва “Илм-фан ва инновациялар академияси” МЧЖ
ISSN2181-3833
Nashr sanasi2025-11-05
Jild4
Son10
Betlar26-32
TilIngliz
Ilmiy sohaVeterinariya
DOI10.66073/researchfocus.v4i10.1794
Indeksga qo‘shilgan2026-09-08

DOI: 10.66073/researchfocus.v4i10.1794 · Maqolaning asl sahifasi

Kalit so‘zlar

smart-grid, прогнозирование нагрузки, LSTM, Transformer, MILP, MPC, управление спросом (DR), управление реактивной мощностью, диспетчирование инверторов, РПН, SCADA/AMI, интеграция ВИЭ, снижение потерь, стабильность напряжения, smart-grid, yuklama bashorati, LSTM, Transformer, MILP, MPC, talabga javob (DR), reaktiv quvvat boshqaruvi, invertor dispatch, OLTC, SCADA/AMI, QTM integratsiyasi, yo‘qotishlarni kamaytirish, kuchlanish barqarorligi, smart grid, load forecasting, LSTM, Transformer, MILP, MPC, demand response (DR), reactive power control, inverter dispatch, OLTC, SCADA/AMI, renewable integration, loss reduction, voltage stability

Ilmiy soha

Veterinariya

Iqtibos keltirish

APATuraxanov Sherzod Shadiyarovich, Тураханов Шерзод Шадиярович, & Turaxanov Sherzod Shadiyarovich (2025). LOAD FORECASTING AND EQUIPMENT OPTIMIZATION IN RENEWABLE ENERGY INTEGRATION. Research Focus, 4(10), 26-32. https://doi.org/10.66073/researchfocus.v4i10.1794
GOST (OAK)Turaxanov Sherzod Shadiyarovich, Тураханов Шерзод Шадиярович, Turaxanov Sherzod Shadiyarovich LOAD FORECASTING AND EQUIPMENT OPTIMIZATION IN RENEWABLE ENERGY INTEGRATION // Research Focus. – 2025. – T. 4, № 10. – P. 26-32. – DOI: 10.66073/researchfocus.v4i10.1794.
MLATuraxanov Sherzod Shadiyarovich, Тураханов Шерзод Шадиярович, and Turaxanov Sherzod Shadiyarovich. “LOAD FORECASTING AND EQUIPMENT OPTIMIZATION IN RENEWABLE ENERGY INTEGRATION.” Research Focus, 4(10), 26-32, 2025. https://doi.org/10.66073/researchfocus.v4i10.1794
ChicagoTuraxanov Sherzod Shadiyarovich, Тураханов Шерзод Шадиярович, and Turaxanov Sherzod Shadiyarovich. “LOAD FORECASTING AND EQUIPMENT OPTIMIZATION IN RENEWABLE ENERGY INTEGRATION.” Research Focus, 4(10), 26-32 (2025). https://doi.org/10.66073/researchfocus.v4i10.1794
HarvardTuraxanov Sherzod Shadiyarovich, Тураханов Шерзод Шадиярович, and Turaxanov Sherzod Shadiyarovich (2025) ‘LOAD FORECASTING AND EQUIPMENT OPTIMIZATION IN RENEWABLE ENERGY INTEGRATION’, Research Focus, 4(10), 26-32. https://doi.org/10.66073/researchfocus.v4i10.1794
BibTeX
@article{turaxanovsherzodshadiyarovich2025,
  title = {LOAD FORECASTING AND EQUIPMENT OPTIMIZATION IN RENEWABLE ENERGY INTEGRATION},
  author = {Turaxanov Sherzod Shadiyarovich and Тураханов Шерзод Шадиярович and Turaxanov Sherzod Shadiyarovich},
  journal = {Research Focus},
  year = {2025},
  volume = {4},
  number = {10},
  pages = {26-32},
  doi = {10.66073/researchfocus.v4i10.1794},
  url = {https://doi.org/10.66073/researchfocus.v4i10.1794}
}

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