Goldfeder et al., 2024
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| US11782409B2 (en) | Systems and methods for maintaining occupant comfort for various environmental conditions | |
| Serale et al. | Model predictive control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities | |
| Nagarathinam et al. | Marco-multi-agent reinforcement learning based control of building hvac systems | |
| Luo et al. | Controlling commercial cooling systems using reinforcement learning | |
| Wu et al. | Optimal control of multiroom HVAC system: An event-based approach | |
| Gao et al. | Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system | |
| Das et al. | Machine learning for smart and energy-efficient buildings | |
| Goldfeder et al. | The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability | |
| Ostadijafari et al. | Tube-based model predictive controller for building’s heating ventilation and air conditioning (HVAC) system | |
| US11953871B2 (en) | Building control system with automatic control problem formulation using building information model | |
| Xu et al. | VABO: Violation-aware Bayesian optimization for closed-loop control performance optimization with unmodeled constraints | |
| Javed et al. | Experimental testing of a random neural network smart controller using a single zone test chamber | |
| Shi et al. | Building energy model reduction using model-cluster-reduce pipeline | |
| Xu et al. | Accelerate online reinforcement learning for building hvac control with heterogeneous expert guidances | |
| Goldfeder et al. | Real-World Data and Calibrated Simulation Suite for Offline Training of Reinforcement Learning Agents to Optimize Energy and Emission in Buildings for Environmental Sustainability | |
| Marantos et al. | Rapid prototyping of low-complexity orchestrator targeting cyberphysical systems: The smart-thermostat usecase | |
| Goldfeder et al. | A lightweight calibrated simulation enabling efficient offline learning for optimal control of real buildings | |
| Cheng et al. | Window-varying particle filter for parameter identification of space thermal model | |
| Markowitz et al. | Efficient HVAC control with deep reinforcement learning and EnergyPlus | |
| US20200278130A1 (en) | Operation control method, storage medium, and operation control device | |
| Flake | Parameter estimation and optimal supervisory control of chilled water plants | |
| Khoa et al. | An extensive analysis of machine learning applications in HVAC | |
| Dong et al. | Online learning for commercial buildings | |
| Yu et al. | Online Comfort-Constrained HVAC Control via Feature Transfer | |
| Goldfeder et al. | A Calibrated Simulation for Offline Training of Reinforcement Learning Agents to Optimize Energy and Emission in Office Buildings |