Data|Driven Model|Based Control Strategies to Improve the Cooling ...

Data-Driven Model-Based Control Strategies to Improve the Cooling ...

This paper investigates three data-driven model-based control strategies to improve the cooling performance of commercial and institutional buildings.

(PDF) Data-Driven Model-Based Control Strategies to Improve the ...

This paper investigates three data-driven model-based control strategies to improve the cooling performance of commercial and institutional ...

Data-Driven Model-Based Control Strategies to Improve the Cooling ...

This paper investigates three data-driven model-based control strategies to improve the cooling performance of commercial and institutional buildings: (a) ...

Deducing Multidecadal Anthropogenic Global Warming Trends ...

Data-Driven Model-Based Control Strategies to Improve the Cooling Performance of Commercial and Institutional Buildings. Language: English; Authors: Saloux ...

A robust data-driven model predictive thermal control for rack-based ...

However, traditional cooling system control strategies have been proven inadequate due to the thermodynamic processess complexity and the ...

Data-driven modeling approach for performance analysis and ...

This is the first attempt to use the NNG variable selection method for developing model for cooling tower and to propose a model-based control scheme for ...

A data-driven method for the optimal control of centralized cooling ...

The energy consumption model of each equipment in the centralized cooling station is established and validated using the operational data. Then an optimization ...

A data-driven method for the optimal control of centralized cooling ...

The energy consumption model of each equipment in the centralized cooling station is established and validated using the operational data. Then ...

Data center cooling using model-predictive control

This leaves potential for efficiency improvement and automation using more adaptive, data-driven techniques. As the number of DCs increases with the adoption of ...

Optimization Control Strategies and Evaluation Metrics of Cooling ...

In the age of digitalization and big data, cooling systems in data centers are vital for maintaining equipment efficiency and environmental sustainability.

methodology to develop artificial neural network based control ...

configurations of cooling strategies for multiple Air-cooling units. The data driven model learns the non-linearity of physics-based systems and predicts ...

Simulator-based reinforcement learning for data center cooling ...

Therefore, optimizing the airflow setpoint would have the greatest impact in regards to further improving the cooling efficiency given the fact ...

Data-driven model-based control strategies to improve the cooling ...

Data-driven model-based control strategies to improve the cooling performance of commercial and institutional buildings. Saloux, Etienne et Zhang, Kun. 2023 ...

Model-Based Evaluation of a Data-Driven Control Strategy

This was followed by the incorporation of such RBF strategies within a soft sensor application and a nonlinear predictive data-driven control application. The ...

Data center cooling using model-predictive control - Semantic Scholar

Adopting a data-driven, model-based approach, it is demonstrated that an RL agent with little prior knowledge is able to effectively and safely regulate ...

Data-Driven Methods for Building Control – A Review and Promising ...

Application of building-dynamics-based control strategies to improve air-conditioning performance in educational buildings. Advances in Building Energy ...

Analysis of the deployment strategies of reinforcement learning ...

The internal logic of the HVAC uses the setpoint and an obfuscated PID controller to modulate fan speeds. First, a data-driven model of the cooling tower is ...

Data-Driven (Reinforcement Learning-Based) Control

[7] Y. Ma and et al. Model predictive control for the operation of building cooling systems. IEEE Transactions on Control Systems Technology, 20(3):796–803 ...

Data center cooling using model-predictive control

Adopting a data-driven, model-based approach, we demonstrate that an RL agent with little ... In this work, we develop a similar control strategy that ...

A multi-setpoint cooling control approach for air-cooled data centers ...

Extensive simulation experiments verify that the proposed DQN-based cooling control model can capture the thermal load changes of each region in the rack room ...