The article discusses how different techniques are used to understand how much energy households and industries use. While progress has been made in improving accuracy, there are still challenges in comparing results. The lack of standard ways to evaluate performance makes it hard to compare different methods. The researchers highlight the differences in energy datasets used for testing algorithms and suggest that careful selection of datasets is important. They also emphasize the need for clear reporting of performance results and the importance of considering complexity in energy usage analysis. Overall, the article suggests ways to improve the comparability of results in this field.