Cover Image

Data-driven HVAC Control Using Symbolic Regression: Design and Implementation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ozawa, Yuki, Zhao, Dafang, Watari, Daichi, Taniguchi, Ittetsu, Suzuki, Toshihiro, Shimoda, Yoshiyuki, Onoye, Takao
Format:	Preprint
Published:	2023
Subjects:	Systems and Control Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
by: Deng, Yang, et al.
Published: (2025)

Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering
by: Zhao, Dafang, et al.
Published: (2024)

A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC Control
by: Ding, Xianzhong, et al.
Published: (2024)

Hierarchical Control Framework Integrating LLMs with RL for Decarbonized HVAC Operation
by: Zhong, Dianyu, et al.
Published: (2026)

Hypercongestion, autonomous vehicle, and urban spatial structure
by: Dantsuji, Takao, et al.
Published: (2023)

Control Barrier Functions for Stochastic Systems and Safety-critical Control Designs
by: Nishimura, Yuki, et al.
Published: (2022)

A Privacy-Preserving Framework for Cloud-Based HVAC Control
by: Feng, Zhenan, et al.
Published: (2023)

Data-driven Exponential Framing for Pulsive Temporal Patterns without Repetition or Singularity
by: Kono, Yohei, et al.
Published: (2025)

Small HVAC Control Demonstrations in Larger Buildings Often Overestimate Savings
by: Khabbazi, Arash J., et al.
Published: (2026)

Reinforcement Learning Based Symbolic Regression for Load Modeling
by: Lin, Ding, et al.
Published: (2025)

Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
by: Hsin, Junette, et al.
Published: (2023)

Counter-Dyna: Data-Efficient RL-Based HVAC Control using Counterfactual Building Models
by: de Vargas, Jan Marco Ruiz, et al.
Published: (2026)

Privacy-aware Fully Model-Free Event-triggered Cloud-based HVAC Control
by: Feng, Zhenan, et al.
Published: (2024)

Optimal Control-Based Falsification of Learnt Dynamics via Neural ODEs and Symbolic Regression
by: Kötz, Lasse, et al.
Published: (2026)

Data-driven Implementations of Various Generalizations of Balanced Truncation
by: Zulfiqar, Umair, et al.
Published: (2025)

Optimal-Control Suggestion for Congestion on Freeways using Data Assimilation of Distributed Fiber-Optic Sensing
by: Yajima, Yoshiyuki, et al.
Published: (2026)

Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection
by: Näf, Joshua, et al.
Published: (2025)

Data-driven Communication and Control Design for Distributed Frequency Regulation with Black-box Inverters
by: Nestor, Michael, et al.
Published: (2025)

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
by: Mulayim, Ozan Baris, et al.
Published: (2025)

Decision-Focused Learning for Neural Network-Constrained HVAC Scheduling
by: Favaro, Pietro, et al.
Published: (2025)

Employing Federated Learning for Training Autonomous HVAC Systems
by: Hagström, Fredrik, et al.
Published: (2024)

Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control
by: An, Zhiyu, et al.
Published: (2024)

Localized Data-driven Consensus Control
by: Chang, Zeze, et al.
Published: (2024)

Non-Conservative Data-driven Safe Control Design for Nonlinear Systems with Polyhedral Safe Sets
by: Modares, Amir, et al.
Published: (2025)

Human-in-the-Loop Simulation for Real-Time Exploration of HVAC Demand Flexibility
by: Zhou, Xinlei, et al.
Published: (2025)

Surrogate model of a HVAC system for PV self-consumption maximisation
by: Paulo, B. da Costa, et al.
Published: (2026)

Loss Allocation in Submarine Armored Three-core HVAC Power Cables
by: del-Pino-López, Juan Carlos, et al.
Published: (2024)

AI-driven, Model-Free Current Control: A Deep Symbolic Approach for Optimal Induction Machine Performance
by: Usama, Muhammad, et al.
Published: (2024)

Experiment Design with Gaussian Process Regression with Applications to Chance-Constrained Control
by: Anderson, Sean, et al.
Published: (2025)

Data-driven Dynamic Event-triggered Control
by: Xu, Tao, et al.
Published: (2024)

The Bayesian Separation Principle for Data-driven Control
by: Baggio, Giacomo, et al.
Published: (2024)

Data-driven Control Against False Data Injection Attacks
by: Liu, Wenjie, et al.
Published: (2023)

Data-driven Dynamic Intervention Design in Network Games
by: Chen, Xiupeng, et al.
Published: (2024)

Why has advanced commercial HVAC control not yet achieved its promise?
by: Henze, Gregor P., et al.
Published: (2024)

Reachable-Set Decomposition for Real-Time Aggregation of Multi-Zone HVAC Fleets
by: Liu, Jingguan, et al.
Published: (2026)

A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions
by: Javadi, Amir Bahador, et al.
Published: (2025)

Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency
by: Liang, Xinyu, et al.
Published: (2025)

Scalable Physics-Informed Neural Differential Equations and Data-Driven Algorithms for HVAC Systems
by: Zhai, Hanfeng, et al.
Published: (2026)

Data-driven Interval MDP for Robust Control Synthesis
by: Coppola, Rudi, et al.
Published: (2024)

Set-Theoretic Direct Data-driven Predictive Control
by: Bajelani, Mohammad, et al.
Published: (2024)