A transparent register of the 15 primary paper-derived visuals used throughout the atlas. Every entry connects the figure, structured guide and original DOI record.
Figure 1. Overview of the study workflow integrating parametric modeling, stacking prediction, SHAP interpretation, and NSGA-III optimization.
Figure 1. Overview of the proposed TSILNet framework for data acquisition, preprocessing, feature extraction, learning, and model evaluation.
Figure 1. HVAC energy disaggregation and demand-response potential evaluation method based on time-frequency decomposition and regression modeling.
Figure 1. Research framework linking multi-sensor Transformer prediction with AC schedule optimization and energy-consumption simulation.
Figure 1. Workflow for temporal microclimate prediction using wind-driven building morphology maps and subsequent building-energy simulation.
Figure 2. Overall MOETS framework with data preprocessing, interactive expert grouping, expert selection, and prediction mixing.
Figure 7. Flowchart of the MPC framework integrating a TABS grey-box model with stochastic disturbance prediction.
Figure 12. Comparison of generated residential floor plans under fixed outer-contour input conditions.
Figure 2. Urbano/Grasshopper workflow and the generated urban site-context model used in the adaptive-reuse analysis.
Figure 3. Network-architecture comparison between conventional black-box models and EP-PINNs with embedded physical neurons.
Figure 1. Proposed physically consistent neural network and deep-reinforcement-learning control framework for residential space heating.
Figure 1. Overall workflow of SN-NODE for building-load prediction, robustness analysis, and multi-resolution forecasting.
Figure 5. Workflow of the proposed ResiDualNet model for electric-vehicle charging-data imputation.
Figure 1. Architecture of a smart building energy system integrating electric loads, EVs, PV, thermal equipment, and external grids.
Figure 1. GCN-based design-load uncertainty-quantification method, including graph construction, uncertain-factor sampling, and CAM interpretation.