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Machine Learning for Power Grid Reliability: Predicting Manhole Events in New York

Machine Learning for Power Grid Reliability: Predicting Manhole Events in New York

Christian Moya Protecting the Power Grid from Cyber-attacks A Machine Learning-based Approach

Christian Moya Protecting the Power Grid from Cyber-attacks A Machine Learning-based Approach

Nobel Conference - Rudin

Nobel Conference - Rudin

Enhancing Power Grid Resilience through Real-Time Fault Detection and Remediation Usi... | RTCL.TV

Enhancing Power Grid Resilience through Real-Time Fault Detection and Remediation Usi... | RTCL.TV

NeuralNetworkConvergence

NeuralNetworkConvergence

Mar Reguant - How Machine Learning Can Predict Energy Efficiency

Mar Reguant - How Machine Learning Can Predict Energy Efficiency

Cynthia Rudin - Interpretable ML for Recidivism Prediction - The Frontiers of Machine Learning

Cynthia Rudin - Interpretable ML for Recidivism Prediction - The Frontiers of Machine Learning

No more black boxes? Making machine learning models understandable | Cynthia Rudin |Nobel Conference

No more black boxes? Making machine learning models understandable | Cynthia Rudin |Nobel Conference

RTE and EPRI Present Learning to Run a Power Network L2RPN 2021 – Towards an Machine Learning Based

RTE and EPRI Present Learning to Run a Power Network L2RPN 2021 – Towards an Machine Learning Based

ITV with Cynthia Rudin - Associate Professor at Duke University

ITV with Cynthia Rudin - Associate Professor at Duke University

Data Predictive Control: Bridging Machine Learning and Controls for Volatile Energy Markets

Data Predictive Control: Bridging Machine Learning and Controls for Volatile Energy Markets

Introduction to Machine Learning Course

Introduction to Machine Learning Course