暂时休息 发表于 2025-3-28 17:16:30
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 electricitCarminative 发表于 2025-3-28 19:21:20
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隐语 发表于 2025-3-28 23:12:18
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袖章 发表于 2025-3-29 03:18:45
http://reply.papertrans.cn/27/2634/263329/263329_44.png秘密会议 发表于 2025-3-29 08:05:13
http://reply.papertrans.cn/27/2634/263329/263329_45.pngLEERY 发表于 2025-3-29 12:14:08
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 multiagentenlist 发表于 2025-3-29 16:07:05
http://reply.papertrans.cn/27/2634/263329/263329_47.png透明 发表于 2025-3-29 20:02:22
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忘川河 发表于 2025-3-30 00:52:31
http://reply.papertrans.cn/27/2634/263329/263329_49.png心胸开阔 发表于 2025-3-30 07:32:57
http://reply.papertrans.cn/27/2634/263329/263329_50.png