Copertina

VB-NET: A physics-constrained gray-box deep learning framework for modeling air conditioning systems as virtual batteries

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qi, Yuchen, Guo, Ye, Xu, Yinliang
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Curtail Renewables to Enhance Flexibility: A Regulated Forecast-based Dispatch Approach
di: Zhao, Zhiyi, et al.
Pubblicazione: (2026)

Real-Time Neural Distributed Energy Resources Dispatch with Feasibility Guarantees
di: Zhu, Jie, et al.
Pubblicazione: (2026)

Alignment of large language models with constrained learning
di: Zhang, Botong, et al.
Pubblicazione: (2025)

A hard-constrained NN learning framework for rapidly restoring AC-OPF from DC-OPF
di: Chen, Kejun, et al.
Pubblicazione: (2026)

Lagrangian-based online safe reinforcement learning for state-constrained systems
di: Bandyopadhyay, Soutrik, et al.
Pubblicazione: (2023)

EM++: A parameter learning framework for stochastic switching systems
di: Wang, Renzi, et al.
Pubblicazione: (2024)

A modular framework for stabilizing deep reinforcement learning control
di: Lawrence, Nathan P., et al.
Pubblicazione: (2023)

Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication
di: Sang, Linwei, et al.
Pubblicazione: (2024)

Lead-acid battery lifetime extension in solar home systems under different operating conditions
di: Perriment, Rebecca, et al.
Pubblicazione: (2023)

A new framework for constrained optimization via feedback control of Lagrange multipliers
di: Cerone, V., et al.
Pubblicazione: (2024)

Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
di: Zhang, Jichen, et al.
Pubblicazione: (2023)

Modelling of measuring systems -- From white box models to cognitive approaches
di: Schiering, Nadine, et al.
Pubblicazione: (2024)

Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries
di: Lanubile, Andrea, et al.
Pubblicazione: (2024)

Data-driven stabilization of switched and constrained linear systems
di: Bianchi, Mattia, et al.
Pubblicazione: (2022)

System-level thermal and electrical modeling of battery systems for electric aircraft design
di: Kuijpers, Thomas, et al.
Pubblicazione: (2024)

Large-scale road network partitioning: a deep learning method based on convolutional autoencoder model
di: Xu, Pengfei, et al.
Pubblicazione: (2024)

Should we use model-free or model-based control? A case study of battery management systems
di: Chehade, Mohamad Fares El Hajj, et al.
Pubblicazione: (2024)

Data-driven $H_{\infty}$ predictive control for constrained systems: a Lagrange duality approach
di: Wu, Wenhuang, et al.
Pubblicazione: (2024)

Robust and learning-augmented algorithms for degradation-aware battery optimization
di: Umenberger, Jack, et al.
Pubblicazione: (2026)

Online convex optimization for constrained control of nonlinear systems
di: Nonhoff, Marko, et al.
Pubblicazione: (2024)

Learning stabilising policies for constrained nonlinear systems
di: Ravasio, Daniele, et al.
Pubblicazione: (2025)

Inverse learning of black-box aggregator for robust Nash equilibrium
di: Chen, Guanpu, et al.
Pubblicazione: (2024)

Simultaneous improvement of control and estimation for battery management systems
di: Ramadan, Mohammad S., et al.
Pubblicazione: (2025)

Analyzing cell-to-cell heterogeneities and cell configurations in parallel-connected battery modules using physics-based modeling
di: Fasolato, Simone, et al.
Pubblicazione: (2025)

Online convex optimization for robust control of constrained dynamical systems
di: Nonhoff, Marko, et al.
Pubblicazione: (2024)

Physics constrained learning of stochastic characteristics
di: Ala, Pardha Sai Krishna, et al.
Pubblicazione: (2025)

Data-driven MPC with terminal conditions in the Koopman framework
di: Worthmann, Karl, et al.
Pubblicazione: (2024)

Lifelong reinforcement learning for health-aware fast charging of lithium-ion batteries
di: Yuan, Meng, et al.
Pubblicazione: (2025)

Anti-windup design for internal model online constrained optimization
di: Casti, Umberto, et al.
Pubblicazione: (2025)

PyBOP: A Python package for battery model optimisation and parameterisation
di: Planden, Brady, et al.
Pubblicazione: (2024)

A constrained optimization approach to nonlinear system identification through simulation error minimization
di: Cerone, Vito, et al.
Pubblicazione: (2025)

Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part A: Storage operation
di: M., Lucu, et al.
Pubblicazione: (2026)

Electric power system security: the case for an integrated cyber-physical risk management framework
di: Karangelos, Efthymios, et al.
Pubblicazione: (2025)

Robust control for uncertain air-to-air missile systems
di: Farrington, Joshua, et al.
Pubblicazione: (2024)

Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling
di: Yan, Mingxue, et al.
Pubblicazione: (2024)

Efficient model predictive control for nonlinear systems modelled by deep neural networks
di: Lan, Jianglin
Pubblicazione: (2024)

Performance analysis for cone-preserving switched systems with constrained switching
di: Seidel, Marc, et al.
Pubblicazione: (2025)

Data-driven model predictive control of battery storage units
di: Lipka, Johannes B., et al.
Pubblicazione: (2024)

Strong exponential stability of switched impulsive systems with mode-constrained switching
di: Vallarella, Alexis J., et al.
Pubblicazione: (2023)

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
di: Liu, Chi, et al.
Pubblicazione: (2025)