Sep 7, 2024 ¡¤ Building energy consumption prediction models are powerful tools for optimizing energy management. Among various methods, artificial neural networks (ANNs) ...

Dec 1, 2023 ¡¤ Fu et al. [29] compared the accuracy of SVR and ANN on hourly building electricity load prediction. The results showed that SVR outperformed ANN.

Nov 9, 2023 ¡¤ Testing with real-world building energy data showed that the proposed method outperforms benchmark methods in predictive performance (Cao et al., 2023).

Sep 14, 2024 ¡¤ The study focuses on implementing and evaluating energy consumption prediction models using algorithms like long short-term memory (LSTM), random forest, and ...

Jul 31, 2024 ¡¤ In this paper, we compare 36 Machine Learning algorithms that could be used to forecast indoor temperature in a smart building.

May 22, 2024 ¡¤ This study leverages machine learning models to predict the hourly energy consumption of residential buildings in South Africa.

Feb 16, 2024 ¡¤ In this study, we leveraged data from UBEM simulation to train machine learning models, subsequently employing them to predict urban building energy consumption ...

4 days ago ¡¤ It evaluates the application of machine learning in clustering buildings based on their thermal characteristics using energy data of different time intervals.

Jul 1, 2024 ¡¤ This paper aims to introduce a study that investigates several artificial intelligence-based models to predict the energy consumption of the most important ...

Feb 6, 2024 ¡¤ The LSTM model provides accurate short, medium, and long-term energy predictions for residential and commercial buildings compared to existing prediction models ...