Ran Wang

TL;DR: In this paper, the authors provide a comprehensive review of NZEB and their current development in hot and humid regions, and provide critical technical information as well as policy recommendations for high performance NZEBs.

TL;DR: A novel improved integration model (stacking model) that can be used to forecast building energy consumption and enriches the diversity of algorithm libraries of empirical models is proposed.

TL;DR: A set three-stage multi-objective optimization method that combines redundancy analysis (RDA), Gradient Boosted Decision Trees (GBDT) and Non-dominated sorting genetic algorithm (NSGA-II) for PH design is proposed, which has strong engineering applicability, by reducing the model complexity and improving efficiency.

TL;DR: In this paper, the authors compared the post-evaluation and drivers of ZEBs from China, the US and the European Union (EU), and found that ZEB definition, energy drivers, standard, regional policies, technology adoption and their adoption ratio determine the energy performance of cases.

TL;DR: In this article, the effects of window ventilation and shading on building design performance from uncertainty analysis, sensitivity analysis, and multi-objective optimization were explored, and the results showed that the sensitivity analysis of the thermal comfort ratio is more sensitive to adjustment strategies than to total energy demand.