Titlebook: Data-driven Analytics for Sustainable Buildings and Cities; From Theory to Appli Xingxing Zhang Book 2021 The Editor(s) (if applicable) and

INEPT

書目名稱Data-driven Analytics for Sustainable Buildings and Cities影響因子(影響力)




書目名稱Data-driven Analytics for Sustainable Buildings and Cities影響因子(影響力)學(xué)科排名




書目名稱Data-driven Analytics for Sustainable Buildings and Cities網(wǎng)絡(luò)公開度




書目名稱Data-driven Analytics for Sustainable Buildings and Cities網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data-driven Analytics for Sustainable Buildings and Cities被引頻次




書目名稱Data-driven Analytics for Sustainable Buildings and Cities被引頻次學(xué)科排名




書目名稱Data-driven Analytics for Sustainable Buildings and Cities年度引用




書目名稱Data-driven Analytics for Sustainable Buildings and Cities年度引用學(xué)科排名




書目名稱Data-driven Analytics for Sustainable Buildings and Cities讀者反饋




書目名稱Data-driven Analytics for Sustainable Buildings and Cities讀者反饋學(xué)科排名

神化怪物

初學(xué)者

DEI

命令變成大炮

A Data-Driven Model Predictive Control for Lighting System Based on Historical Occupancy in an Offic consumption in public buildings globally. This consumption share can be effectively reduced using the demand-response control. The traditional lighting system control method commonly depends on the real-time occupancy data collected using the passive infrared (PIR) sensor. However, the detection in

陶器

Tailoring Future Climate Data for Building Energy Simulationhistorical weather data (e.g. typical meteorological year-TMY). Nevertheless, due to climate change, the actual weather data during a NZEB’s lifecycle may differ considerably from the historical weather data. Consequently, the designed NZEBs using the historical weather data may not achieve the desi

陶器

A Solar Photovoltaic/Thermal (PV/T) Concentrator for Building Application in Sweden Using Monte Carlnties for the emerging solar photovoltaic/thermal (PV/T) technologies. This chapter therefore aims to conduct a techno-economic evaluation of a reference solar PV/T concentrator in Sweden for building application. An analytical model is developed based on the combinations of Monte Carlo simulation t

漂亮

Influencing Factors for Occupants’ Window-Opening Behaviour in an Office Building Through Logistic Rten regarded as window-opening behaviour, is more commonly observed because of its convenience. It not only improves indoor air quality to satisfy occupants’ requirement for indoor thermal comfort but also influences building energy consumption. To learn more about potential factors having effects o

Meander

NEXUS

A Novel Reinforcement Learning Method for Improving Occupant Comfort via Window Opening and Closingver, complex to predict and control conventionally. This chapter, therefore, proposes a novel reinforcement learning (RL) method for the advanced control of window opening and closing. The RL control aims at optimising the time point for window opening/closing through observing and learning from the