Prediction of building HVAC energy consumption based on least squares support vector machines
Abstract Air conditioning, as an essential appliance in daily life, has the function of ensuring comfortable room temperature, but it is also accompanied by a large amount of power consumption. Consequently, the study suggests an energy consumption prediction model based on improved genetic algorith...
Saved in:
Main Authors: | Xin Wan, Xiaoling Cai, Lele Dai |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-11-01
|
Series: | Energy Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42162-024-00417-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance prediction and optimization of hydrogenation feed pump based on particle swarm optimization – least squares support vector regression surrogate model
by: Yanpi Lin, et al.
Published: (2024-12-01) -
Fault Diagnosis Approach of Gear based on Two Features and Least Squares Support Vector Machine
by: Qin Bo, et al.
Published: (2016-01-01) -
METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE
by: FENG Shuai, et al.
Published: (2016-01-01) -
Hybrid Simulation of a Frame Equipped with MR Damper by Utilizing Least Square Support Vector Machine
by: A H. Sharghi, et al.
Published: (2018-03-01) -
Fault Diagnosis Method for Rolling Bearing based on Least Squares Mapping and SVM
by: Zhao Yu, et al.
Published: (2017-01-01)