The goal of the research is to optimize energy use and comfort in open-plan offices by predicting occupancy patterns and preferences. The researchers developed a model to extract detailed occupancy data and created a prediction model based on this information. They also improved the prediction model by selecting the best data collection period and training dataset. The study found that integrating energy simulation with optimization algorithms can help control energy systems in buildings while balancing energy consumption and occupants' comfort.