[HTML][HTML] Building energy prediction models and related uncertainties: A review
Building energy usage has been an important issue in recent decades, and energy
prediction models are important tools for analysing this problem. This study provides a …
prediction models are important tools for analysing this problem. This study provides a …
[HTML][HTML] Generative pre-trained transformers (GPT)-based automated data mining for building energy management: Advantages, limitations and the future
Advanced data mining methods have shown a promising capacity in building energy
management. However, in the past decade, such methods are rarely applied in practice …
management. However, in the past decade, such methods are rarely applied in practice …
Automated machine learning-based building energy load prediction method
The application of data-driven building energy load prediction technologies remains a time-
consuming effort, since it highly relies on human expertise to train data-driven building …
consuming effort, since it highly relies on human expertise to train data-driven building …
Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: Data generation, incremental …
G Li, L Zhan, X Fang, J Gao, C Xu, X He, J Deng… - Energy, 2024 - Elsevier
Accurate building energy predictions (BEPs) are crucial for maintaining a built environment's
sustainability and energy systems. Many data-driven BEPs rely heavily on sufficient data …
sustainability and energy systems. Many data-driven BEPs rely heavily on sufficient data …
End-to-end data-driven modeling framework for automated and trustworthy short-term building energy load forecasting
Conventional automated machine learning (AutoML) technologies fall short in
preprocessing low-quality raw data and adapting to varying indoor and outdoor …
preprocessing low-quality raw data and adapting to varying indoor and outdoor …
Real-time energy performance benchmarking of electric vehicle air conditioning systems using adaptive neural network and Gaussian process regression
One major concern of the electric vehicle is the limited driving range per charge. Among its
auxiliary systems, the heating, ventilation, and air conditioning (HVAC) system consumes …
auxiliary systems, the heating, ventilation, and air conditioning (HVAC) system consumes …