[论文分享]Performance in generation: An automatic generalizable generative-design-based performance optimization framework for sustainable building design
📃 基本信息 [论文标题] 《生成式设计中的性能优化：一种可持续建筑设计自动化通用性能优化框架》[期刊信息] […]
B3-被动式节能策略
[论文分享]An integrated framework utilizing machine learning to accelerate the optimization of energy-efficient urban block forms
📃 基本信息 [论文标题] 《利用机器学习加速节能城市街区形态优化的集成框架》[期刊信息] Tsinghua […]
[论文分享]A new synthesized framework of artificial neural network-based sensitivity analysis for building energy performance: A case study of Shanghai, China
📃 基本信息 [论文标题] 《基于人工神经网络的新型建筑能耗敏感性分析集成框架：以上海为例》[期刊信息] Bu […]
[论文分享]Optimizing Vegetation and Building Configurations for Streetscape Heat Mitigation: A Multi-Scale Analysis under Extreme Heat
📃 基本信息 [论文标题] 《优化街道景观植被和建筑配置以缓解极端高温：多尺度分析》[期刊信息] Buildi […]
[论文分享]Machine learning-boosted multi-objective optimization of integrated shading systems : Enhancing daylight availability, glare protection, and energy savings
📃 基本信息 [论文标题] 《机器学习驱动的集成遮阳系统多目标优化：增强日照可用性、眩光保护与节能效果》[期刊 […]
[论文分享]Python-driven sensitivity analysis of geometric parameters : Evaluating the impact of geometric variations on environmental performance of large office in Boston
📃 基本信息 [论文标题] 《基于Python的几何参数敏感性分析：评估波士顿大型办公楼几何变化对环境性能的影 […]
[论文分享]Using intelligent multi-objective optimization and artificial neural networking to achieve maximum solar radiation with minimum volume in the archetype urban block
📃 基本信息 [论文标题] 《基于智能多目标优化与人工神经网络实现原型城市街区最大太阳辐射与最小体积》[期刊信 […]
[论文分享]Predicting solar radiation in the urban area: A data-driven analysis for sustainable city planning using artificial neural networking
📃 基本信息 [论文标题] 《城市区域太阳辐射预测：基于人工神经网络的数据驱动分析用于可持续城市规划》[期刊信 […]
[论文分享]Optimising building envelope retrofits under future climates: Integrating passive, active, and renewable strategies
📃 基本信息 [论文标题] 《优化未来气候条件下的建筑围护结构改造：整合被动式、主动式和可再生能源策略》[期刊 […]
[论文分享]Multi-objective architectural parametric optimization toward decarbonizing building sector – Tabriz city case study
📃 基本信息 [论文标题] 《面向建筑部门脱碳的多目标建筑参数化优化 – 以塔布里兹市为案例研究》 […]