Author

Farrukh Hafeez

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Open access Oct 2026

Lite-BiAttn: A Lightweight CNN-BiLSTM Attention Model for Accurate Solar Radiation Forecasting

Reliable short-term prediction of global horizontal irradiance (GHI) is essential for maximizing photovoltaic (PV) power generation, improving grid reliability, and enabling efficient integration of renewable energy sources. This study proposes Lite-BiAttn, a lightweight hybrid deep learning framework that combines one...

Shiraz Afzal, Farrukh Hafeez, A. Nahhas et al. · Energies · 0 citations

Open access Sep 2026

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

The proposed CNN–BiLSTM–Attention framework performed better than conventional benchmark models of machine learning and deep learning, achieving a Root Mean Square Error of 0.088 and Seasonal and atmospheric-condition evaluations also showed consistent performance across different seasonal and atmospheric conditions.

Farrukh Hafeez, T. Jumani, Z. Arfeen et al. · Information · 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. · Vehicles · 0 citations