Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction
It is of great significance to achieve the prediction of building energy consumption. However, machine learning, as a promising technique for many practical applications, was rarely utilized in this field. The most important reason is that the predictive structure with best performance is difficult...
Main Authors: | Zhijian Liu, Di Wu, Yuanwei Liu, Zhonghe Han, Liyong Lun, Jun Gao, Guangya Jin, Guoqing Cao |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2019-07-01
|
Series: | Energy Exploration & Exploitation |
Online Access: | https://doi.org/10.1177/0144598718822400 |
Similar Items
-
Suitability and feasibility study on the application of groundwater source heat pump (GWSHP) system in residential buildings for different climate zones in China
by: Zhijian Liu, et al.
Published: (2020-11-01) -
Enhancing Recycling Participation: Behavior Factors Influencing Residents’ Adoption of Recycling Vending Machines
by: Xinyuan Zhang, et al.
Published: (2024-11-01) -
Computational Flow Dynamic Simulation of Micro Flow Field Characteristics Drainage Device Used in the Process of Oil-Water Separation
by: Guangya Jin, et al.
Published: (2017-01-01) -
Analyses and comparison of accuracy of different genotype imputation methods.
by: Yu-Fang Pei, et al.
Published: (2008-01-01) -
THE ADOPTION OF THE ARCGIS SYSTEM TO SUPPORT THE ANALYSES OF THE INFLUENCE OF THE MINING TREMORS ON THE BUILDING OBJECTS
by: Violetta SOKOŁA-SZEWIOŁA, et al.
Published: (2016-10-01)