Optimal power flow is a cornerstone of electrical power system operations: it is solved repeatedly every five minutes in the real-time market.
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More >>Abstract: In this talk, we introduce methods that remove the barrier for applying neural networks in real-life power systems and unlock a series of new appli
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More >>Learn Machine Learning in a way that is accessible to absolute beginners. You will learn the basics of Machine Learning and how to use TensorFlow to implemen
More >>In this video, you will learn how to simulate the different types of faults in power system using MATLAB/Simulink.For an ultimate MATLAB- Simulink course for
More >>WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a co
More >>This video is the first part of a four-part lectures in which Professor Anna Scaglione (from Arizona State University) talks about the application of graph based machine learning techniques in
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More >>Reinforcement learning is a powerful technique at the intersection of machine learning and control theory, and it is inspired by how biological systems learn
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More >>Power System Fault Detection and Classification Using Deep Neural Network=====This video focuses on the d
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More >>In this video, I walk you through a machine-learning project that predicts the hourly energy output of a combined cycle power plant using real-world environm
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More >>Roundtable Discussion: Machine Learning for Power Systems: Present & Future Chairs: Spyros Chatzivasileiadis, Misha Chertkov, Pascal Van Hentenryck, Daniel Molzahn, Louis Wehenkel
More >>As the photovoltaic (PV) industry continues to evolve, advancements in machine learning for power systems have become critical to optimizing the utilization of renewable energy sources. From innovative battery technologies to intelligent energy management systems, these solutions are transforming the way we store and distribute solar-generated electricity.
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