Prediction of Hourly Air-Conditioning Energy Consumption in Office Buildings Based on Gaussian Process Regression

Prediction of Hourly Air-Conditioning Energy Consumption in Office Buildings Based on Gaussian Process Regression

Accurate prediction of air-conditioning energy consumption in buildings is of great help in reducing building energy consumption. Nowadays, most research efforts on predictive models are based on large samples, while short-term prediction with one-month or less-than-one-month training sets receives...

Full description

Bibliographic Details
Main Authors: Feng, Y. (Author), Huang, Y. (Author), Knefaty, A.D (Author), Lou, J. (Author), Shang, H. (Author), Yao, J. (Author), Zheng, R. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
12 × 12 grid search
Accurate prediction
Air conditioning
Air conditioning energy consumption
Building energy consumption
Energy utilization
Forecasting
Gaussian distribution
Gaussian noise (electronic)
Gaussian process regression
Grid search
HVAC system
In-buildings
Meteorology
Office buildings
prediction of air-conditioning energy consumption
Prediction of air-conditioning energy consumption
Regression analysis
Search engines
System energy consumption
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items