Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies
Fuente:
arXiv
Saved in:
| Main Authors: | Madahi, Seyed Soroush Karimi, Gokhale, Gargya, Verwee, Marie-Sophie, Claessens, Bert, Develder, Chris |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2023)
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2023)
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
by: Gokhale, Gargya, et al.
Published: (2024)
by: Gokhale, Gargya, et al.
Published: (2024)
Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees
by: Gokhale, Gargya, et al.
Published: (2024)
by: Gokhale, Gargya, et al.
Published: (2024)
Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025)
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025)
Gaming Strategies in European Imbalance Settlement Mechanisms
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025)
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025)
Neural Network-Assisted Model Predictive Control for Implicit Balancing
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2026)
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2026)
Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks
by: Pavirani, Fabio, et al.
Published: (2023)
by: Pavirani, Fabio, et al.
Published: (2023)
Predicting and Publishing Accurate Imbalance Prices Using Monte Carlo Tree Search
by: Pavirani, Fabio, et al.
Published: (2024)
by: Pavirani, Fabio, et al.
Published: (2024)
HomeLabGym: A real-world testbed for home energy management systems
by: Van Puyvelde, Toon, et al.
Published: (2024)
by: Van Puyvelde, Toon, et al.
Published: (2024)
Herd Behavior in Decentralized Balancing Models: A Case Study in Belgium
by: Bruninx, Max, et al.
Published: (2026)
by: Bruninx, Max, et al.
Published: (2026)
Probabilistic forecasting of power system imbalance using neural network-based ensembles
by: Van Gompel, Jonas, et al.
Published: (2024)
by: Van Gompel, Jonas, et al.
Published: (2024)
S3TS: Stochastic Scenario-Structured Tree Search for Advanced Planning Under Uncertainty
by: Pavirani, Fabio, et al.
Published: (2026)
by: Pavirani, Fabio, et al.
Published: (2026)
Learning Reachability of Energy Storage Arbitrage
by: Tapia, Tomás, et al.
Published: (2025)
by: Tapia, Tomás, et al.
Published: (2025)
Reachability Guarantees for Energy Arbitrage
by: Tapia, Tomás, et al.
Published: (2026)
by: Tapia, Tomás, et al.
Published: (2026)
Offline Reinforcement-Learning-Based Power Control for Application-Agnostic Energy Efficiency
by: Raj, Akhilesh, et al.
Published: (2026)
by: Raj, Akhilesh, et al.
Published: (2026)
Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting
by: Sage, Manuel, et al.
Published: (2024)
by: Sage, Manuel, et al.
Published: (2024)
Multi-Region Optimal Energy Storage Arbitrage
by: Hashmi, Md Umar, et al.
Published: (2026)
by: Hashmi, Md Umar, et al.
Published: (2026)
Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning
by: Zhang, Haoyang, et al.
Published: (2025)
by: Zhang, Haoyang, et al.
Published: (2025)
Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees
by: Van Puyvelde, Toon, et al.
Published: (2025)
by: Van Puyvelde, Toon, et al.
Published: (2025)
GPU-Accelerated Dynamic Programming for Multistage Stochastic Energy Storage Arbitrage
by: Lee, Thomas, et al.
Published: (2025)
by: Lee, Thomas, et al.
Published: (2025)
Energy Storage Arbitrage Under Price Uncertainty: Market Risks and Opportunities
by: Wu, Yiqian, et al.
Published: (2025)
by: Wu, Yiqian, et al.
Published: (2025)
Uncertainty Discounting in Deterministic Black Box Price Predictions for Energy Arbitrage
by: Bhattacharjee, Arnab
Published: (2025)
by: Bhattacharjee, Arnab
Published: (2025)
On-Policy Reinforcement-Learning Control for Optimal Energy Sharing and Temperature Regulation in District Heating Systems
by: Yi, Xinyi, et al.
Published: (2025)
by: Yi, Xinyi, et al.
Published: (2025)
Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning
by: Gokhale, Anand, et al.
Published: (2026)
by: Gokhale, Anand, et al.
Published: (2026)
Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
by: Baheri, Ali
Published: (2025)
by: Baheri, Ali
Published: (2025)
Online Energy Storage Arbitrage under Imperfect Predictions: A Conformal Risk-Aware Approach
by: Wu, Yiqian, et al.
Published: (2025)
by: Wu, Yiqian, et al.
Published: (2025)
Threat-based Security Controls to Protect Industrial Control Systems
by: Srinivasan, Haritha, et al.
Published: (2025)
by: Srinivasan, Haritha, et al.
Published: (2025)
Sizing of Battery Considering Renewable Energy Bidding Strategy with Reinforcement Learning
by: Mantani, Taiyo, et al.
Published: (2026)
by: Mantani, Taiyo, et al.
Published: (2026)
A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning
by: Gokhale, Anand, et al.
Published: (2026)
by: Gokhale, Anand, et al.
Published: (2026)
DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
by: Bian, Yuexin, et al.
Published: (2024)
by: Bian, Yuexin, et al.
Published: (2024)
Deep Reinforcement Learning-Based Control Strategy with Direct Gate Control for Buck Converters
by: Katayama, Noboru
Published: (2025)
by: Katayama, Noboru
Published: (2025)
Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning
by: Banker, Thomas, et al.
Published: (2025)
by: Banker, Thomas, et al.
Published: (2025)
Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators
by: Barjini, Amir Hossein, et al.
Published: (2025)
by: Barjini, Amir Hossein, et al.
Published: (2025)
Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study
by: Baheri, Ali, et al.
Published: (2019)
by: Baheri, Ali, et al.
Published: (2019)
A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning
by: Hao, Wenjian, et al.
Published: (2025)
by: Hao, Wenjian, et al.
Published: (2025)
Optimized Operation of Standalone Battery Energy Storage Systems in the Cross-Market Energy Arbitrage Business
by: van Sandbergen, Luis
Published: (2025)
by: van Sandbergen, Luis
Published: (2025)
Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
by: Mallick, Samuel, et al.
Published: (2024)
by: Mallick, Samuel, et al.
Published: (2024)
Safe Reinforcement Learning-based Automatic Generation Control
by: Mohamed, Amr S., et al.
Published: (2025)
by: Mohamed, Amr S., et al.
Published: (2025)
Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep and Power Control in RIS-aided Energy-Efficient RAN
by: Zhou, Hao, et al.
Published: (2023)
by: Zhou, Hao, et al.
Published: (2023)
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach
by: Alghumayjan, Saud, et al.
Published: (2024)
by: Alghumayjan, Saud, et al.
Published: (2024)
Similar Items
-
Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2023) -
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
by: Gokhale, Gargya, et al.
Published: (2024) -
Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees
by: Gokhale, Gargya, et al.
Published: (2024) -
Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025) -
Gaming Strategies in European Imbalance Settlement Mechanisms
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025)