Blakely, L.

Authored

(362h) Physics Informed Machine Learning for Feasibility Analysis
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(104b) Physics-Informed Machine Learning Surrogates with Optimization-Based Guarantees: Applications to AC Power Flow
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(476b) Deep Neural Network As Surrogates for Intractable Constraints and Problem Dimension Reduction: Security Constrained AC Optimal Power Flow
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(109e) Physics Informed Machine-Learning for Static Security Analysis of Optimal Power Flow Solutions
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

Related Proceedings

2020 Virtual AIChE Annual Meeting2021 Annual Meeting2022 Annual Meeting