Lighting control in office buildings is driven by occupant's demand for indoor light environment. The control behavior not only has a direct impact on occupants’ visual comfort, but also relates with the building lighting energy consumption. However, due to the effect of glare, lighting control is often associated with shading adjustment. In this regard, this paper proposed a prediction model which can accurately describe the lighting and shading coupling control behavior by fully considering the difference and diversity of occupants. The light environment preferences and the usage habits of lighting and shading system of occupants was firstly investigated and classified by means of questionnaire. Markov model and log-logistic survival model were introduced to quantitatively describe the probability distribution of various shading and lighting control behaviors. On this basis, combined with the indoor workplane illumination prediction model, the behavior of occupant's lighting and shading coupling control can be predicted. By comparing the four models considering or not considering the diversity and coupling effect, it is found that the proposed coupling prediction models show better performance, the maxium error rate is only 13.04% for the lighting energy consumption prediction.

办公楼的照明控制是由居住者对室内光环境的需求所驱动。控制行为不仅直接影响居住者的视觉舒适度，而且与建筑物照明能耗有关。但是，由于眩光的影响，照明控制通常与阴影调整有关。在这方面，本文提出了一种预测模型，该模型可以充分考虑乘员的差异和多样性，从而准确地描述照明和阴影耦合的控制行为。首先利用问卷调查法对乘员的光照环境偏好和照明系统的使用习惯进行了分类。引入马尔可夫模型和对数逻辑生存模型来定量描述各种阴影和光照控制行为的概率分布。在此基础上，结合室内工作平面照明预测模型，可以预测乘员的照明行为和阴影耦合控制。通过比较考虑或不考虑分集和耦合效应的四个模型，发现所提出的耦合预测模型表现出更好的性能，照明能耗预测的最大误差率仅为13.04％。