Cover Image

Integrating Cybersecurity in Predictive Cost-Benefit Power Scheduling: A DeepStack Model with Dynamic Defense Mechanism

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peivand, Ali, Nosratabadi, Seyyed Mostafa
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Depreciation Cost is a Poor Proxy for Revenue Lost to Aging in Grid Storage Optimization
by: Kumtepeli, Volkan, et al.
Published: (2024)

The Impact of Grid Storage on Balancing Costs and Carbon Emissions in Great Britain
by: Nosratabadi, Seyyed Mostafa, et al.
Published: (2024)

A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids
by: Maya, Neethu, et al.
Published: (2024)

AgenticControl: An Automated Control Design Framework Using Large Language Models
by: Narimani, Mohammad, et al.
Published: (2025)

A Monolithic Cybersecurity Architecture for Power Electronic Systems
by: Gupta, Kirti, et al.
Published: (2024)

Transmission Benefits and Cost Allocation under Ambiguity
by: Shu, Han, et al.
Published: (2024)

Optimal Power Scheduling for High Renewables-Integrated Energy Systems with Battery Storage
by: Zhao, Cunzhi, et al.
Published: (2023)

PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems
by: Menati, Ali, et al.
Published: (2024)

Automating Hot-Rolling: Designing an Integrated Mechatronics System for Enhanced Efficiency in Sheet Metal Production
by: Mostafa, Mostafa A., et al.
Published: (2025)

Bi-level Model Predictive Control for Energy-aware Integrated Product Pricing and Production Scheduling
by: Li, Hongliang, et al.
Published: (2025)

Deep Q-Learning-Based Gain Scheduling for Nonlinear Quadcopter Dynamics
by: Rastgoftar, Hossein, et al.
Published: (2026)

Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery Usage Profile
by: Zhao, Cunzhi, et al.
Published: (2023)

Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs
by: Zapparoli, Lorenzo, et al.
Published: (2026)

Enhancing Power Prediction of Photovoltaic Systems: Leveraging Dynamic Physical Model for Irradiance-to-Power Conversion
by: Li, Baojie, et al.
Published: (2024)

Control and Scheduling of Behind-the-Meter Battery Energy Storage Systems for Stacked Grid and Building Services
by: omar, Nour-eddine Id, et al.
Published: (2026)

Watts and Drops: Co-Scheduling Power and Water in Desalination Plants
by: Alahmed, Ahmed S., et al.
Published: (2025)

Remote Estimation of Markov Processes over Costly Channels: On the Benefits of Implicit Information
by: Santi, Edoardo David, et al.
Published: (2024)

Empirical Validation of a Dual-Defense Mechanism Reshaping Wholesale Electricity Price Dynamics in Singapore
by: Zhenyu, Huang, et al.
Published: (2026)

Joint Optimisation of Electric Vehicle Routing and Scheduling: A Deep Learning-Driven Approach for Dynamic Fleet Sizes
by: Yap, Jun Kang, et al.
Published: (2025)

Restoring Feasibility in Power Grid Optimization: A Counterfactual ML Approach
by: Mohammadian, Mostafa, et al.
Published: (2025)

Learning-Based Cost-Aware Defense of Parallel Server Systems against Malicious Attacks
by: Zhan, Yuzhen, et al.
Published: (2025)

Grid Stability and Power Factor Dynamics in Solar Farms Integration
by: Osseily, Hassan
Published: (2025)

Resilient Scheduling of Control Software Updates in Radial Power Distribution Systems
by: Sou, Kin Cheong, et al.
Published: (2023)

Cost Optimized Scheduling in Modular Electrolysis Plants
by: Henkel, Vincent, et al.
Published: (2024)

Electrification of Clay Calcination: A First Look into Dynamic Modeling and Energy Management for Integration with Sustainable Power Grids
by: Laurini, Bruno, et al.
Published: (2024)

Large Language Models for Power Scheduling: A User-Centric Approach
by: Mongaillard, Thomas, et al.
Published: (2024)

Electric Vehicle Charge Scheduling on Highway Networks from an Aggregate Cost Perspective
by: Anderson, Sean, et al.
Published: (2019)

A Scalable Game Theoretic Approach for Coordination of Multiple Dynamic Systems
by: Shibl, Mostafa M., et al.
Published: (2024)

Predict-then-Optimize for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks Stream
by: Pu, Chuanqing, et al.
Published: (2025)

Load Scheduling for Pulse Charging to Flatten Aggregate Power Demand
by: Liu, Yu
Published: (2026)

Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty
by: Liu, Rong-Peng, et al.
Published: (2023)

A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks
by: Vehlhaber, Finn, et al.
Published: (2024)

Analysis of Stability and Performance of Economic Model Predictive Control with State-Independent Costs
by: Arastou, Alireza, et al.
Published: (2026)

Distributed Convex Optimization with State-Dependent (Social) Interactions over Random Networks
by: Alaviani, Seyyed Shaho, et al.
Published: (2024)

Minimax Least-Square Policy Iteration for Cost-Aware Defense of Traffic Routing against Unknown Threats
by: Zhan, Yuzhen, et al.
Published: (2024)

Minimizing the Expected Cost of Synchronization in Lossless Power Networks
by: Ogbonna, Gerald, et al.
Published: (2026)

Cyberscurity Threats and Defense Mechanisms in IoT network
by: Dao, Trung, et al.
Published: (2026)

A Timing-Anomaly Free Dynamic Scheduling on Heterogeneous Systems
by: Zhu, Yixuan, et al.
Published: (2026)

Synergies between AI Computing and Power Systems: Metrics, Scheduling, and Resilience
by: Pourahmadi, Farzaneh, et al.
Published: (2025)

Power Reserve Capacity from Virtual Power Plants with Reliability and Cost Guarantees
by: Zapparoli, Lorenzo, et al.
Published: (2025)