Master’s student in Energy Science | AI & Machine Learning for Renewable Energy and Battery Management Systems
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🔭 I’m currently working on Developing advanced LSTM-based forecasting models for renewable energy systems and applying machine learning to electrical fault detection and classification. I’m analyzing line currents and voltages under various fault conditions to enhance power system protection mechanisms. My focus is on using AI, especially neural networks, to improve fault identification and response times in transmission lines.
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🌱 I’m currently learning Advanced machine learning and data analysis techniques, particularly for electrical fault detection and classification, as well as smart grid automation. I’m expanding my knowledge of battery management system optimization and LSTM models for energy forecasting.
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👯 I’m looking to collaborate on Projects involving energy system optimization, smart grid technologies, renewable energy integration, and AI-driven solutions for battery management and storage systems. I’m also interested in collaborating on machine learning applications for electrical fault detection and power system stability.
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🤝 I’m looking for help with Exploring cutting-edge approaches in neural networks for energy applications, and improving the efficiency of AI models for fault detection and classification.
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💬 Ask me about Smart grid technologies, AI-driven solutions for energy systems, battery management, renewable energy forecasting, or machine learning applications in electrical fault detection and power system stability. I’d love to discuss neural networks, LSTM models, and innovations in energy storage.
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📫 How to reach me connectashish028@gmail.com
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⚡ Fun fact I love to work out, spend time with dogs, and dive into coding projects. Whether it's hitting the gym, hanging with my furry friends, or tackling algorithms, I find balance through both fitness and tech!
