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Author

Islom Yalgoshev

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3 papers indexed here

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Conference Open access Sep 2026

Enhancing Training Dynamics of Long-Short Term Memory-Based Models for Accurate Photovoltaic Power Generation Forecasting

Accurate forecasting of solar photovoltaic (PV) power generation is essential for reliable grid integration and efficient energy management. To achieve this, the most existing studies improve forecasting performance of deep learning models by modifying their neural network architectures, however this study focuses inst...

S. Akhatkulov, Islom Yalgoshev, Ilkhom Rakhmatullayev · 0 citations
Conference Sep 2026

A Comparative Evaluation of Ensemble and Statistical Models for Electricity Consumption Prediction

Accurate electricity consumption forecasting is essential for effective energy management, demand planning, and reliable power-system operation. This study investigates machine learning and statistical approaches for predicting electricity consumption using a dataset collected from four major cities in Pakistan. Five f...

S. Akhatkulov, Islom Yalgoshev, Dilnoza Omonova · 0 citations
Conference Sep 2026

Control Parameter Dynamics in Neural Network Optimization: An Analysis of Learning Rate Strategies for Sequential Data Modeling

The learning rate (LR) is the single most influential hyperparameter governing the convergence and stability of stochastic gradient descent (SGD). While numerous heuristic schedules for LR decay and warmup have been proposed to improve generalization, their underlying mathematical behavior as discrete control parameter...

S. Akhatkulov, Islom Yalgoshev, Dildora Rajabova · 0 citations

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