Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility
Fuente:
arXiv
Saved in:
| Main Authors: | Jüni, Colin, Montazeri, Mina, Guo, Yi, Bellizio, Federica, Sansavini, Giovanni, Heer, Philipp |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards socio-techno-economic power systems with demand-side flexibility
by: Cai, Hanmin, et al.
Published: (2026)
by: Cai, Hanmin, 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)
Prescribing Optimal Health-Aware Operation for Urban Air Mobility with Deep Reinforcement Learning
by: Montazeri, Mina, et al.
Published: (2024)
by: Montazeri, Mina, et al.
Published: (2024)
Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes
by: Hekmat, Nami, et al.
Published: (2021)
by: Hekmat, Nami, et al.
Published: (2021)
Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)
by: Zhang, Baohe, et al.
Published: (2024)
Uncertainty-Aware Flexibility of Buildings: From Quantification to Provision
by: Rousseau, Julie, et al.
Published: (2025)
by: Rousseau, Julie, et al.
Published: (2025)
Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
by: Zhang, Jichen, et al.
Published: (2023)
by: Zhang, Jichen, et al.
Published: (2023)
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)
by: Wang, Xuefeng, et al.
Published: (2024)
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
by: Gao, Guanyu, et al.
Published: (2019)
by: Gao, Guanyu, et al.
Published: (2019)
Using Flexibility Envelopes for the Demand-Side Hierarchical Optimization of District Heating Networks
by: Blizard, Audrey, et al.
Published: (2024)
by: Blizard, Audrey, et al.
Published: (2024)
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning
by: Flögel, Daniel, et al.
Published: (2024)
by: Flögel, Daniel, et al.
Published: (2024)
Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
by: Zhang, Harry
Published: (2024)
by: Zhang, Harry
Published: (2024)
Optimal Duration of Reserve Capacity Ancillary Services for Distributed Energy Resources
by: Zapparoli, Lorenzo, et al.
Published: (2025)
by: Zapparoli, Lorenzo, et al.
Published: (2025)
Power Reserve Capacity from Virtual Power Plants with Reliability and Cost Guarantees
by: Zapparoli, Lorenzo, et al.
Published: (2025)
by: Zapparoli, Lorenzo, et al.
Published: (2025)
Efficient Multi-Market Scheduling of Virtual Power Plants via Spectral Representation of Uncertainty
by: Zapparoli, Lorenzo, et al.
Published: (2026)
by: Zapparoli, Lorenzo, et al.
Published: (2026)
Scalable and Efficient Aggregation of Energy-Constrained Flexible Loads
by: Rousseau, Julie, et al.
Published: (2025)
by: Rousseau, Julie, et al.
Published: (2025)
Robust Deep Reinforcement Learning for Inverter-based Volt-Var Control in Partially Observable Distribution Networks
by: Liu, Qiong, et al.
Published: (2024)
by: Liu, Qiong, et al.
Published: (2024)
Future Deployment and Flexibility of Distributed Energy Resources in the Distribution Grids of Switzerland
by: Zapparoli, Lorenzo, et al.
Published: (2025)
by: Zapparoli, Lorenzo, et al.
Published: (2025)
Safe Control and Learning Using Generalized Action Governor
by: Fang, Peiyuan, et al.
Published: (2022)
by: Fang, Peiyuan, et al.
Published: (2022)
AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation
by: Brown, Colin, et al.
Published: (2026)
by: Brown, Colin, et al.
Published: (2026)
Funplex: A Modified Simplex Algorithm to Efficiently Explore Near-Optimal Spaces
by: Funke, Christoph S., et al.
Published: (2024)
by: Funke, Christoph S., et al.
Published: (2024)
Contact-Aided Navigation of Flexible Robotic Endoscope Using Deep Reinforcement Learning in Dynamic Stomach
by: Ng, Chi Kit, et al.
Published: (2025)
by: Ng, Chi Kit, et al.
Published: (2025)
Comprehensive Review on the Control of Heat Pumps for Energy Flexibility in Distribution Networks
by: Aschidamini, Gustavo L., et al.
Published: (2025)
by: Aschidamini, Gustavo L., et al.
Published: (2025)
Trustworthy and Explainable Deep Reinforcement Learning for Safe and Energy-Efficient Process Control: A Use Case in Industrial Compressed Air Systems
by: Bezold, Vincent, et al.
Published: (2025)
by: Bezold, Vincent, et al.
Published: (2025)
Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
by: Mohaya, Turki Bin, et al.
Published: (2026)
by: Mohaya, Turki Bin, et al.
Published: (2026)
Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs
by: Zapparoli, Lorenzo, et al.
Published: (2026)
by: Zapparoli, Lorenzo, et al.
Published: (2026)
Control-Optimized Deep Reinforcement Learning for Artificially Intelligent Autonomous Systems
by: Fivel, Oren, et al.
Published: (2025)
by: Fivel, Oren, et al.
Published: (2025)
Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
by: Guerrier, Maeva, et al.
Published: (2024)
by: Guerrier, Maeva, et al.
Published: (2024)
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks
by: Yang, Xu, et al.
Published: (2024)
by: Yang, Xu, et al.
Published: (2024)
Model-Free Load Frequency Control of Nonlinear Power Systems Based on Deep Reinforcement Learning
by: Chen, Xiaodi, et al.
Published: (2024)
by: Chen, Xiaodi, et al.
Published: (2024)
Approximate Model-Based Shielding for Safe Reinforcement Learning
by: Goodall, Alexander W., et al.
Published: (2023)
by: Goodall, Alexander W., et al.
Published: (2023)
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data
by: Lichtlé, Nathan, et al.
Published: (2024)
by: Lichtlé, Nathan, et al.
Published: (2024)
Adaptive Data-Driven Prediction in a Building Control Hierarchy: A Case Study of Demand Response in Switzerland
by: Shi, Jicheng, et al.
Published: (2023)
by: Shi, Jicheng, et al.
Published: (2023)
A day-ahead market model for power systems: benchmarking and security implications
by: Stankovski, Andrej, et al.
Published: (2026)
by: Stankovski, Andrej, et al.
Published: (2026)
Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning
by: Francis, Lawrence, et al.
Published: (2024)
by: Francis, Lawrence, et al.
Published: (2024)
Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning
by: Wang, Shuyi, et al.
Published: (2024)
by: Wang, Shuyi, et al.
Published: (2024)
Trajectory-Independent Flexibility Envelopes of Energy-Constrained Systems with State-Dependent Losses
by: Rousseau, Julie, et al.
Published: (2025)
by: Rousseau, Julie, et al.
Published: (2025)
Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
by: Lin, Runze, et al.
Published: (2026)
by: Lin, Runze, et al.
Published: (2026)
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
by: Zarrouki, Baha, et al.
Published: (2024)
by: Zarrouki, Baha, et al.
Published: (2024)
Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning
by: Huang, Chenghao, et al.
Published: (2026)
by: Huang, Chenghao, et al.
Published: (2026)
Similar Items
-
Towards socio-techno-economic power systems with demand-side flexibility
by: Cai, Hanmin, et al.
Published: (2026) -
Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning
by: Zhang, Haoyang, et al.
Published: (2025) -
Prescribing Optimal Health-Aware Operation for Urban Air Mobility with Deep Reinforcement Learning
by: Montazeri, Mina, et al.
Published: (2024) -
Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes
by: Hekmat, Nami, et al.
Published: (2021) -
Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)