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Z. Arfeen

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Open access Sep 2026

Attention-Enhanced CNN–BiLSTM Framework with Temporal Feature Engineering for Global Horizontal Irradiance Forecasting

Global Horizontal Irradiance (GHI) forecasting is crucial for optimizing PVs, stabilizing smart grids, and integrating renewable energy resources. This study introduces the following novel forecasting framework: temporal feature engineering, attention-enhanced deep sequence learning, explainable AI analysis, and robust...

Farrukh Hafeez, T. Jumani, Z. Arfeen et al. · 0 citations
Open access Aug 2026

Particle Swarm Optimization-Based Feature Weighting and Early-Cycle Remaining Useful Life Prediction of Lithium-Ion Batteries

A machine learning framework using particle swarm optimization (PSO) to perform hyperparameter tuning and feature optimization to improve lithium-ion battery RUL prediction and offers a highly interpretable and effective solution for predicting lithium-ion battery RUL.

Matee Ur Rasool, Abdul Salam, M. Masud et al. · 0 citations

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