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🔭 I’m currently working on 30-Ready-ML-Projects, a comprehensive repository showcasing practical machine learning applications across diverse domains, including smart grid and energy management.
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👯 My main research focus is on ML|DL|RL projects related to power and energy systems towards Smart circuit breakers.
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👨💻 My projects span various applications in Machine Learning, Smart Grids, and Energy Management. Find them at My GitHub Profile.
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💬 Curious about Machine Learning, Smart Grids, and Energy Management? I'm passionate about discussing innovations and challenges in these fields. Interseted in diving deep into Reinforcement Learning, exploring its applications in optimizing energy managemnet within smart microgrid, ensuring efficiency and resilieance.
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📫 Reach out to me at arshidali.yaho@gmail.com for collaborations, discussions, or inquiries.
- I leverage a comprehensive set of machine learning libraries such as TensorFlow, Scikit-learn, Keras, NumPy, Pandas, Matplotlib, SciPy, and PyPI to build predictive models. These models are specifically designed for optimizing smart grid functionalities, energy forecasting, and anomaly detection within power systems.
- Implementation of a Machine Learning model for NTL detection within smart grid networks, resulting in significant enhancements in energy efficiency and cost reduction.
- Developed predictive models employing time series analysis and machine learning algorithms to forecast energy consumption patterns, facilitating efficient resource allocation in energy management systems.
- Created an anomaly detection system utilizing machine learning techniques to identify and mitigate faults or anomalies in power systems, ensuring grid stability and resilience.
- Co-authored research publication in leading journals, focusing on the convergence of AI, smart grid technologies, and energy management.
Let's connect and explore the fascinating realm of AI-driven solutions in smart grids and energy management!