標題: Titlebook: Data-driven Analytics for Sustainable Buildings and Cities; From Theory to Appli Xingxing Zhang Book 2021 The Editor(s) (if applicable) and [打印本頁] 作者: INEPT 時間: 2025-3-21 19:07
書目名稱Data-driven Analytics for Sustainable Buildings and Cities影響因子(影響力)
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書目名稱Data-driven Analytics for Sustainable Buildings and Cities網(wǎng)絡公開度學科排名
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被引頻次學科排名
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書目名稱Data-driven Analytics for Sustainable Buildings and Cities年度引用學科排名
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讀者反饋學科排名
作者: 神化怪物 時間: 2025-3-21 22:25 作者: 初學者 時間: 2025-3-22 01:20 作者: DEI 時間: 2025-3-22 06:24 作者: 命令變成大炮 時間: 2025-3-22 11:36
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作者: 陶器 時間: 2025-3-22 16:13
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作者: 陶器 時間: 2025-3-22 17:09
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作者: 漂亮 時間: 2025-3-23 00:57
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作者: Meander 時間: 2025-3-23 05:08 作者: NEXUS 時間: 2025-3-23 05:58
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作者: 神圣不可 時間: 2025-3-23 09:54
Development of an Adaptation Table to Enhance the Accuracy of the Predicted Mean Vote Modelin predicting Thermal Sensation (TS). The implicit assumption is that PMV can be applied for predicting TS of a large population. Our statistical analysis of a subset of ASHRAE global database of thermal comfort field study shows that occupants’ expectations towards TS are affected by factors that a作者: instulate 時間: 2025-3-23 14:18 作者: 全部逛商店 時間: 2025-3-23 19:54 作者: 揭穿真相 時間: 2025-3-24 00:17 作者: expire 時間: 2025-3-24 02:33 作者: 拾落穗 時間: 2025-3-24 07:12 作者: Torrid 時間: 2025-3-24 11:55 作者: ambivalence 時間: 2025-3-24 15:26
Sustainable Development Goals Serieshttp://image.papertrans.cn/d/image/263329.jpg作者: endoscopy 時間: 2025-3-24 21:19
A Plastics Overview: Figures and Tablesmart buildings and cities are generating a great amount of data by a very wide variety of sources. Data from these sources can be used to understand occupancy behaviour, evaluate energy performance, improve RES market competitiveness, enhance overall resources efficiency and so on. The emergence of 作者: Arctic 時間: 2025-3-25 00:36 作者: chisel 時間: 2025-3-25 06:15 作者: 首創(chuàng)精神 時間: 2025-3-25 07:51
https://doi.org/10.1007/978-3-030-42224-0al energy consumption and simulation results. This chapter aims to extract occupant-behaviour related electricity load patterns using classical K-means clustering approach at the initial investigation stage. Smart-metering data from a case study in Shanghai, China, was used for the load pattern anal作者: cuticle 時間: 2025-3-25 12:20 作者: sinoatrial-node 時間: 2025-3-25 19:07
Physical Storage and Distributionhistorical 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作者: flimsy 時間: 2025-3-25 20:24
Undergraduate Topics in Computer Sciencenties 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作者: 兒童 時間: 2025-3-26 00:22 作者: 使堅硬 時間: 2025-3-26 08:13 作者: ordain 時間: 2025-3-26 08:31
https://doi.org/10.1007/978-1-4471-5601-7ver, 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作者: 哀悼 時間: 2025-3-26 13:44
Concise Guide to Formal Methodsin predicting Thermal Sensation (TS). The implicit assumption is that PMV can be applied for predicting TS of a large population. Our statistical analysis of a subset of ASHRAE global database of thermal comfort field study shows that occupants’ expectations towards TS are affected by factors that a作者: Indelible 時間: 2025-3-26 20:50 作者: Employee 時間: 2025-3-26 23:24 作者: 斗志 時間: 2025-3-27 04:45
Literature in the Early Tang Dynastysforming an existing residential cluster in Sweden into electricity prosumers. The main energy concepts include (1) click-and-go photovoltaics (PV) panels for building integration, (2) centralized exhaust air heat pump, (3) thermal energy storage for storing excess PV electricity by using heat pump,作者: 周興旺 時間: 2025-3-27 05:47
Literature in the Wei and Jin Dynastiesvel performance via regulating the energy storage charging/discharging. However, the flexible demand shifting ability of electric vehicles is rarely considered. For instance, the electric vehicle charging will usually start once they are plugged into charging stations. But, in such charging period t作者: 辭職 時間: 2025-3-27 11:37
https://doi.org/10.1007/978-981-99-5814-6nvironmental problems. Due to the intermittent and unstable characteristics of renewable energy (e.g. solar energy), NZEB needs to frequently exchange energy with the power grid. Such frequent energy interactions can impose negative impacts on the grid in terms of power balance and voltage stability作者: 姑姑在炫耀 時間: 2025-3-27 14:13 作者: BOON 時間: 2025-3-27 20:06
978-981-16-2780-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: Lasting 時間: 2025-3-28 00:05
Data-driven Analytics for Sustainable Buildings and Cities978-981-16-2778-1Series ISSN 2523-3084 Series E-ISSN 2523-3092 作者: 極端的正確性 時間: 2025-3-28 02:30
Book 2021lysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality..?.作者: Systemic 時間: 2025-3-28 06:50
Data-Driven Approaches for Prediction and Classification of Building Energy Consumptionte that the data-driven approaches, although they are constructed based on less physical information, have well addressed a large variety of building energy related applications, such as load forecasting and prediction, energy pattern profiling, regional energy-consumption mapping, benchmarking for 作者: 國家明智 時間: 2025-3-28 10:43
Prediction of Occupancy Level and Energy Consumption in Office Building Using Blind System Identificr-conditioning system by using a feed-forward neural network (FFNN) and extreme learning machine (ELM), as well as ensemble models. To analyse some aspects of the benchmark test for identifying the effect of structure parameters and input-selection alternatives, three studies are conducted on (1) th作者: 暫時休息 時間: 2025-3-28 17:16
Cluster Analysis for Occupant-Behaviour Based Electricity Load Patterns in Buildings: A Case Study ic double peak with higher level of consumption in the morning and evening were only apparent in a relatively small subset of residents (mostly white-collar workers). The weekly analysis found that significant load shifting towards weekend days occurred in the poor or old family group. The electricit作者: Carminative 時間: 2025-3-28 19:21
A Data-Driven Model Predictive Control for Lighting System Based on Historical Occupancy in an Officrcome this challenge using an updated historical occupancy status. Using an office as case study, the proposed model is also compared with the traditional lighting system control method. In the proposed model, the occupancy data was trained to predict the occupancy pattern to improve the control. It作者: 隱語 時間: 2025-3-28 23:12
Tailoring Future Climate Data for Building Energy Simulationrphing method. Then, using the generated future weather data, the lifecycle performances of the NZEBs, designed using the TMY data, are assessed. Next, to mitigate the climate change impacts, different measures are adopted and their effectiveness is evaluated. The study results can improve understan作者: 袖章 時間: 2025-3-29 03:18 作者: 秘密會議 時間: 2025-3-29 08:05 作者: LEERY 時間: 2025-3-29 12:14
Reinforcement Learning Methodologies for Controlling Occupant Comfort in Buildingsntrolling occupant comfort, especially in indoor air quality and lighting. Relatively few of the reviewed works incorporate occupancy patterns and/or occupant feedback into the control loop. Moreover, this chapter identifies a gap with regard to the performance of implementing cooperative multiagent作者: enlist 時間: 2025-3-29 16:07 作者: 透明 時間: 2025-3-29 20:02
A Prediction Accuracy Weighted Voting Ensemble Method for Thermal Sensation Evaluationediction accuracies. Results indicate that resampling is important for improving the performance of the minority classes. PAWVE with data resampling outperformed the other models, with an overall accuracy and F1-score both at 0.67. When compared with the traditional PMV model, the performance has be作者: 忘川河 時間: 2025-3-30 00:52 作者: 心胸開闊 時間: 2025-3-30 07:32 作者: Friction 時間: 2025-3-30 10:43
Genetic Algorithm for a Coordinated Control to Improve Performance for a Building Cluster with Energt developed. Then, based on the predicted future 24?h electricity demand and renewable generation data, the coordinated control first considers the whole building cluster as one ‘integrated’ building and optimizes its operation as well as the EV charging/discharging using genetic algorithm. Next, th作者: ABIDE 時間: 2025-3-30 14:21
Genetic Algorithm and Mont Carlo Method for Global Sensitivity Analysis of Key Parameters Identificaary into consideration, thereby causing unnecessarily high computation loads. Therefore, this study proposes a novel method to identify the key parameters affecting NZEB grid interactions. In the method, global sensitivity analysis is adopted to quantitatively compare the impacts of 24 influential p
