40 results on '"Blakely, Logan"'
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2. Perspectives on the integration between first-principles and data-driven modeling
3. Verification of Neural Network Surrogates
4. Multimodal Learning in Cyber-Physical System: A Deep Dive with WSCC 9-Bus System
5. Resilience Enhancements through Deep Learning Yields.
6. IMoFi (Intelligent Model Fidelity): Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration Updated Accomplishments.
7. A deep neural network approach for behind-the-meter residential PV size, tilt and azimuth estimation
8. AC-Optimal Power Flow Solutions with Security Constraints from Deep Neural Network Models
9. AI-Based Protective Relays for Electric Grid Resiliency
10. IMoFi - Intelligent Model Fidelity: Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration (Final Report)
11. Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow
12. Rapid QSTS Simulations for High-Resolution Comprehensive Assessment of Distributed PV
13. Online Data-Driven Detection of Phase Changes in Evolving Distribution Systems
14. Applying Sensor-based Phase Identification with AMI Voltage in Distribution Systems
15. Structured Physics Informed Neural Networks for Surrogate Based Feasibility.
16. Improving Behind-the-Meter PV Impact Studies with Data-Driven Modeling and Analysis
17. Improving Behind-the-Meter PV Impact Studies with Data-Driven Modeling and Analysis.
18. Deep Neural Networks as Surrogates for Intractable Constraints and Problem Dimension Reduction: SC ACOPF.
19. Data-Driven Detection of Phase Changes in Evolving Distribution Systems
20. Data-Driven Detection of Phase Changes in Evolving Distribution Systems.
21. Physics-Informed Machine Learning with Optimization-Based Guarantees: Applications to Ac Power Flow
22. Evaluation and Comparison of Machine Learning Techniques for Rapid QSTS Simulations
23. Integration of Optimization and Machine Learning for Improving Electrical Grid Operation.
24. Physics-Informed Machine Learning Surrogates with Optimization-Based Guarantees: Applications to AC Power Flow.
25. Estimation of PV Location based on Voltage Sensitivities in Distribution Systems with Discrete Voltage Regulation Equipment
26. Parameter Tuning Analysis for Phase Identification Algorithms in Distribution System Model Calibration
27. Estimation of PV Location in Distribution Systems based on Voltage Sensitivities
28. Identification and Correction of Errors in Pairing AMI Meters and Transformers
29. Parameter Tuning Analysis for Phase Identification Algorithms in Distribution System Model Calibration.
30. Leveraging Additional Sensors for Phase Identification in Systems with Voltage Regulators.
31. Assessment of Measurement-Based Phase Identification Methods
32. Identifying Errors in Service Transformer Connections
33. Phase identification using co‐association matrix ensemble clustering
34. Systematic Study of Data Requirements and AMI Capabilities for Smart Meter Analytics
35. AMI Data Quality and Collection Method Considerations for Improving the Accuracy of Distribution Models
36. Identifying Common Errors in Distribution System Models
37. Spectral Clustering for Customer Phase Identification Using AMI Voltage Timeseries
38. Decision tree ensemble machine learning for rapid QSTS simulations
39. Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series
40. Machine Learning for Rapid QSTS Simulations Using Neural Networks
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