A review of uncertainty analysis in building energy assessment
Uncertainty analysis in building energy assessment has become an active research field
because a number of factors influencing energy use in buildings are inherently uncertain …
because a number of factors influencing energy use in buildings are inherently uncertain …
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 …
As the climate changes globally and locally, the built environment will be subject to different
climatic exposure than in the past. Adaptation measures are required to ensure the long …
climatic exposure than in the past. Adaptation measures are required to ensure the long …
Predicting long-term monthly electricity demand under future climatic and socioeconomic changes using data-driven methods: A case study of Hong Kong
Data-driven methods, such as artificial neural networks (ANNs), support vector regression
(SVM), Gaussian process regression (GPR), multiple linear regression (MLR), decision trees …
(SVM), Gaussian process regression (GPR), multiple linear regression (MLR), decision trees …