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Open access Sep 2026

ATTENTION-ENHANCED LSTM-BASED SOLAR POWER MANAGEMENT FORECASTING: A COMPARATIVE ANALYSIS WITH RECURRENT NEURAL NETWORK ARCHITECTURES

The prediction of solar power production plays an important role in the proper functioning and efficient management of renewable energy systems. Nevertheless, the solar power generation varies continuously with changes in weather conditions, which make the process of forecasting difficult. The purpose of this paper is...

S. P, Durgadevi Velusamy, Karthikeyan Ramasamy · 0 citations
Conference Aug 2026

Ultra-Lightweight Edge-AI Framework for Real-Time HAR Applications

There is an increasing demand for lightweight Human Activity Recognition system on constrained devices due to recent advances in edge intelligence. Conventional deep learning models require high computation, memory, and energy for continuous inference. The development of a very light Edge-AI framework for UHAR on smart...

G. M, M. T, L. S et al. · 0 citations
Conference Aug 2026

Performance Analysis and Classification of Transmission Line Faults Using Machine Learning Algorithms

Transmission line faults play a significant role in affecting power systems' reliability, stability, and security. This paper presents a fault classifying structure based on PMU, which diagnoses transmission line faults accurately through utilizing machine learning methods. The real-time measured and synchronized multi...

S. P, S. Shanmugam, Hariprabhu M et al. · 0 citations

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