Performance Prediction Model Based on Multi-Task Learning and Co-Evolutionary Strategy for Ground Source Heat Pump System
In order to effectively predict the performance of ground source heat pump system, a performance prediction method is proposed in this paper. Based on the basic model of forward neural network, the algorithm predicts the performance data of ground source heat pump system by inputting the time series...
Saved in:
| Main Authors: | Zhaoyi Zhuang, Chen Wei, Bing Li, Peng Xu, Yifei Guo, Jiachang Ren |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8807178/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Annual Operation Analysis of PV/T-Coupled Ground-Source Heat Pump System with Cross-Season Heat Storage in Cold Regions
by: LV Xueping, et al.
Published: (2025-01-01) -
Numerical Simulations of Dynamic Performances of the U-tube Ground Source Heat Pumps System
by: Ji Feng, et al.
Published: (2013-01-01) -
Performance Degradation of Ground Source Heat Pump Systems Under Ground Temperature Disturbance: A TRNSYS-Based Simulation Study
by: Yeqi Huang, et al.
Published: (2025-07-01) -
Perfection of an Energy-Economic and Environmental Parameters of the Ground Source Heat Pump Systems with Preventing Freezing of the Soil around Ground Pipes
by: Dnisova A.E., et al.
Published: (2024-04-01) -
Economy Case Study of VRV Ground Source Heat Pump System
Published: (2011-01-01)