Full Picture

Article analysis:

The article is generally reliable and trustworthy, as it provides a comprehensive overview of the research conducted and its findings. The authors have provided evidence to support their claims, such as citing relevant studies and experiments that demonstrate the importance of occupant behaviour in predicting building energy consumption. Furthermore, they have also discussed potential limitations of physical-based methods in accurately simulating occupant behaviours, which further strengthens their argument for the need for an agent-based machine learning model.

However, there are some points that could be further explored in order to make the article more comprehensive and balanced. For instance, while the authors have discussed potential limitations of physical-based methods in accurately simulating occupant behaviours, they have not discussed any potential drawbacks or risks associated with using an agent-based machine learning model instead. Additionally, while they have discussed how Boruta feature selection can improve the performance of machine learning algorithms in predicting building energy consumption, they have not explored any other possible methods or techniques that could be used to achieve similar results.

In conclusion, this article is generally reliable and trustworthy but could benefit from further exploration into potential drawbacks or risks associated with using an agent-based machine learning model and other possible methods or techniques that could be used to improve the performance of machine learning algorithms in predicting building energy consumption.