It's really effective to use the support vector regression (SVR) model to predict the building indoor temperature. This predicting method based on. SVM can be ...

Nov 19, 2014 · The theory of Support Vector Machine (SVM) and the LibSVM toolbox were used to predict the indoor temperature. The experimental results shown ...

It's really effective to use the support vector regression (SVR) model to predict the building indoor temperature. This predicting method based on SVM can be ...

Abstract: Aiming at the problems for predicting the building indoor temperature so as to set up a reasonable indoor environment, the support vector machine ...

2 days ago · This study introduces an efficient model for predicting thermal comfort using limited datasets, utilizing the SMOTE technique for data ...

Aiming at the problems for predicting the building indoor temperature so as to set up a reasonable indoor environment, the support vector machine (SVM) ...

18 hours ago · This paper focuses on developing an efficient LSTM-based surrogate modeling approach to predict indoor air temperatures, emphasizing reduced ...

This study introduces a predictive model leveraging Machine Learning (ML) algorithms. The model aims to predict thermal comfort levels and optimize energy ...

Oct 26, 2014 · I am trying to develop a NN or SVM model to predict surface temperature based on several features such as air temp, humidity, wind speed, ...

Nov 6, 2024 · the study suggests an energy consumption prediction model based on improved genetic algorithm—least squares support vector machine—to accurately ...