Search Results - "Satheesh, Rahul"

Identification of Oscillatory Modes in Power System Using Deep Learning Approach by Satheesh, Rahul, Chakkungal, Nashida, Rajan, Sunitha, Madhavan, Manu, Alhelou, Hassan Haes

“…The increase in electric power demand pushes the modern power system for more interconnected networks. It leads to a lack of inertia and creates more critical…”
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A Comprehensive Approach to Wind Power Forecasting Using Advanced Hybrid Neural Networks by Vishnutheerth, E. P., Vijay, Vivek, Satheesh, Rahul, Kolhe, Mohan Lal

“…Wind power prediction is important in successfully integrating renewable energy sources into the grid. This study is focused on a sub-domain of wind power…”
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Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions by Akhil, V. M., Satheesh, Rahul, Ashmi, M., Tawk, Charbel D.

“…Electromyography (EMG)-based clinical signal processing and feature extraction are crucial for diagnosing various diseases. In this work, using lower limb EMG…”
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Data-Driven Energy Management of an Electric Vehicle Charging Station Using Deep Reinforcement Learning by Asha Rani, G. S., Lal Priya, P. S., Jayan, Jino, Satheesh, Rahul, Kolhe, Mohan Lal

“…A charging station that integrates renewable energy sources is a promising solution to address the increasing demand for electric vehicle (EV) charging without…”
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Ambient oscillatory mode assessment in power system using an advanced signal processing method by Satheesh, Rahul, Rajan, Sunitha

“…Estimation of electromechanical mode properties is crucial in modern power systems for providing the operators with an adequate indication of the stress in the…”
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Assessment of Mode Shape in Power System Using TVF-EMD and Spectral Analysis by Satheesh, Rahul, Rajan, Sunitha

“…This paper presents a robust dynamic approach for the monitoring and estimation of electromechanical oscillatory modes in the power system in real-time with…”
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Estimation of mode shape in power systems under ambient conditions using advanced signal processing approach by S, RAHUL, R, SUNITHA

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Impact of Activation Functions in Deep Learning Based State of Charge Estimation for Batteries by Kumar, Pradeesh Prem, Satheesh, Rahul, Alhelou, Hassan Haes

“…Deep learning (DL) models are becoming popular for estimating State of Charge (SOC) in batteries. These models are good at finding complex patterns in data…”
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Analyzing dominant oscillatory modes in power system using unidirectional and bidirectional LSTM Techniques by Satheesh, Rahul, Patel, Parthkumar, M, Akhil V, Rajan, Sunitha

“…In the realm of power systems, the assessment of dominant oscillatory modes plays a critical role. If operators can swiftly identify and detect low-frequency…”
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