Author

Sriramakrishnan Pathmanaban

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Open access Sep 2026

Peak-aware short-term household electricity consumption forecasting using deep learning and transformer-based architectures

A detailed deep learning analysis of the UCI household power consumption dataset, which includes minute-level measurements from French households over four years, demonstrates that the hybrid CNN-LSTM provide improved overall household load forecasting on RMSE and TFT-Lite is advantageous for peak-aware forecasting pea...

Ν. Nathan, Sriramakrishnan Pathmanaban · Scientific Reports · 0 citations

Open access Jul 2026

Integrating Fuzzy Logic and Fractional-Order Operators in Convolutional Neural Networks for Handwritten Digits and Characters Recognition

This study focuses on enhancing handwritten Devanagari character recognition using deep learning models, specifically fine-tuned Convolutional Neural Networks (CNNs), combined with hybrid mathematical methods for image enhancement, proposing a fuzzy-enabled Power-Law transformation for image enhancement.

Akshara Sreenivasan, Vinodkumar Vinodkumar Arumugam, Sriramakrishnan Pathmanaban et al. · Chaos and Fractals · 0 citations