Cover Image

Deep-Learning-Directed Preventive Dynamic Security Control via Coordinated Demand Response

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Masoumi, Amin, Korkali, Mert
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum-Embedded Dynamic Security Control using Hybrid Deep Reinforcement Learning
by: Masoumi, Amin, et al.
Published: (2025)

Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning
by: Masoumi, Amin, et al.
Published: (2025)

Quantum-Accelerated Deep Reinforcement Learning for Frequency Regulation Enhancement
by: Masoumi, Amin, et al.
Published: (2025)

Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
by: Peter, Benjamin M., et al.
Published: (2025)

Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents
by: Peter, Benjamin M., et al.
Published: (2024)

Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning
by: Li, Yang, et al.
Published: (2023)

Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
by: Woywood, Zeno, et al.
Published: (2024)

Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning
by: Yang, Fengjun, et al.
Published: (2024)

A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids
by: Chifu, Viorica Rozina, et al.
Published: (2024)

Demand Response Optimization MILP Framework for Microgrids with DERs
by: Babu, K. Victor Sam Moses, et al.
Published: (2025)

Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
by: Hoppe, Heiko, et al.
Published: (2023)

Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning
by: Singhal, Aaryan, et al.
Published: (2023)

Efficient Data-Driven MPC for Demand Response of Commercial Buildings
by: Paré, Marie-Christine, et al.
Published: (2024)

A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
by: Brenner, Aron, et al.
Published: (2024)

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control
by: Ng, Max T. M., et al.
Published: (2025)

Learning Deep Dissipative Dynamics
by: Okamoto, Yuji, et al.
Published: (2024)

Robo-taxi Fleet Coordination at Scale via Reinforcement Learning
by: Tresca, Luigi, et al.
Published: (2025)

Modeling and Control of Deep Sign-Definite Dynamics with Application to Hybrid Powertrain Control
by: Kato, Teruki, et al.
Published: (2025)

KeyCLD: Learning Constrained Lagrangian Dynamics in Keypoint Coordinates from Images
by: Daems, Rembert, et al.
Published: (2022)

Learning Exactly Linearizable Deep Dynamics Models
by: Moriyasu, Ryuta, et al.
Published: (2023)

Neural Coordination and Capacity Control for Inventory Management
by: Eisenach, Carson, et al.
Published: (2024)

Nuclear Microreactor Control with Deep Reinforcement Learning
by: Tunkle, Leo, et al.
Published: (2025)

Promises of Deep Kernel Learning for Control Synthesis
by: Reed, Robert, et al.
Published: (2023)

Empowering Aggregators with Practical Data-Driven Tools: Harnessing Aggregated and Disaggregated Flexibility for Demand Response
by: Mylonas, Costas, et al.
Published: (2024)

Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
by: Jing, Gangshan, et al.
Published: (2021)

Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
by: Veedu, Mishfad Shaikh, et al.
Published: (2023)

From Optimization to Control: Quasi Policy Iteration
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)

Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting
by: Garcia, Joaquim Dias, et al.
Published: (2021)

Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
by: Hamilton, Nathaniel, et al.
Published: (2024)

Transfer of Safety Controllers Through Learning Deep Inverse Dynamics Model
by: Nadali, Alireza, et al.
Published: (2024)

Interpretable machine-learning for predicting molecular weight of PLA based on artificial bee colony optimization algorithm and adaptive neurofuzzy inference system
by: Masoumi, Amir Pouya, et al.
Published: (2025)

DeepForge: Leveraging AI for Microstructural Control in Metal Forming via Model Predictive Control
by: Petrik, Jan, et al.
Published: (2024)

Mechanistic Foundations of Goal-Directed Control
by: Lago, Alma
Published: (2026)

Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics
by: Ward, Isaac Ronald, et al.
Published: (2024)

Deep Learning of Dynamic Systems using System Identification Toolbox(TM)
by: Dai, Tianyu, et al.
Published: (2024)

Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning
by: Goyal, Pawan, et al.
Published: (2021)

Safe and Near-Optimal Control with Online Dynamics Learning
by: Prajapat, Manish, et al.
Published: (2025)

Dynamic Controlled Variables Based Dynamic Self-Optimizing Control
by: Zhou, Chenchen, et al.
Published: (2026)

Universal Approximation Power of Deep Residual Neural Networks via Nonlinear Control Theory
by: Tabuada, Paulo, et al.
Published: (2020)

Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint)
by: Brooks, John W., et al.
Published: (2024)