Machine Learning Accelerated Real-Time Model Predictive Control for Power Systems
Author:
Affiliation:
1. Iowa State University,Department of Electrical and Computer Engineering,Ames,IA,USA,50011
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization
Link
http://xplorestaging.ieee.org/ielx7/6570654/10085745/10085977.pdf?arnumber=10085977
Reference39 articles.
1. Active Frequency Response Based on Model Predictive Control for Bulk Power System
2. Explainable AI in Deep Reinforcement Learning Models for Power System Emergency Control
3. Adaptive and predictive control strategies for wind turbine systems: a survey
4. Computation of Trajectory Sensitivities with Respect to Control and Implementation in PSAT
5. Robust Model Predictive Control of Gate-Controlled Series Capacitor for LFC of Power Systems
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1. Improvement and Simulation of PID Model Predictive Control Algorithm Based on Time Domain;Lecture Notes in Electrical Engineering;2024
2. Exploration on Artificial Intelligence Technology in Power System State Estimation, Monitoring and Early Warning System;2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA);2023-10-27
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