Power consumption prediction of variable refrigerant flow system through data-physics hybrid approach: An online prediction test in office building

B Yue, Z Wei, C Zheng, Y Ding, B Li, D Li, X Liang… - Energy, 2023 - Elsevier
Variable refrigerant flow (VRF) system contains numerous sensors and has the advance for
fast response, which is suitable for building demand response (DR) management. Fast and …

Development of a hybrid VRF system energy consumption prediction model based on data partitioning and swarm intelligence algorithm

Y He, Q Gong, Z Zhou, H Chen - Journal of Building Engineering, 2023 - Elsevier
Accurately forecasting energy consumption is beneficial and pivotal for effectively managing
variable refrigerant flow (VRF) systems. Changes in energy consumption provide an intuitive …

Energy consumption predicting model of VRV (Variable refrigerant volume) system in office buildings based on data mining

D Zhao, M Zhong, X Zhang, X Su - Energy, 2016 - Elsevier
Energy consumption prediction plays an important role in building design & retrofit, energy
management system. In this paper, ECI (Energy consumption intensity) of VRV (Variable …

Modelling variable refrigerant flow system for control purpose

D Wang, M Li, M Guo, Q Shi, C Zheng, D Li, S Li… - Energy and …, 2023 - Elsevier
Abstract Variable Refrigerant Flow (VRF) systems are gradually gaining popularity in small
and medium-sized commercial and residential buildings owing to their high part-load …

[HTML][HTML] Electricity load forecasting using advanced feature selection and optimal deep learning model for the variable refrigerant flow systems

W Kim, Y Han, KJ Kim, KW Song - Energy Reports, 2020 - Elsevier
The control optimization of a variable refrigerant flow (VRF) system requires an accurate
electricity load forecast because VRF systems have a wide range of energy consumption …

Extending the virtual refrigerant charge sensor (VRC) for variable refrigerant flow (VRF) air conditioning system using data-based analysis methods

G Li, Y Hu, H Chen, L Shen, H Li, J Li, W Hu - Applied Thermal Engineering, 2016 - Elsevier
A proper refrigerant charge amount (RCA) prediction algorithm is important to air
conditioning systems. In variable refrigerant flow (VRF) systems, the traditional virtual …

Hybrid model using Bayesian neural network for variable refrigerant flow system

KU Ahn, CS Park, KJ Kim, DW Kim… - Journal of Building …, 2022 - Taylor & Francis
This study introduces a hybrid model that combines physics and machine learning (ML)
models to describe the behaviour of variable refrigerant flow (VRF) systems. The standalone …

Intelligent performance prediction of air conditioning systems based on refrigerant temperatures

N Giannetti, Y Miyaoka, K Saito - Thermal Science and Engineering …, 2022 - Elsevier
Efficient management of energy in buildings necessitates the accurate evaluation of the air
conditioning (AC) system performance. Ideally, the system must be operated with its cooling …

Data-driven sensitivity analysis and electricity consumption prediction for water source heat pump system using limited information

S Sun, H Chen - Building Simulation, 2021 - Springer
The studies on predicting the energy consumption of air conditioning systems are
meaningful to building energy conservation and management. Generally, the more …

Reconstituted data-driven air conditioning energy consumption prediction system employing occupant-orientated probability model as input and swarm intelligence …

C Zhang, L Ma, X Han, T Zhao - Energy, 2024 - Elsevier
With recent energy and environmental crises, the energy consumption prediction of air
conditioning (AC) is essential. Notably, existing general prediction systems use the air …