Data-driven Analytics for Sustainable Buildings and Cities
portes grátis
Data-driven Analytics for Sustainable Buildings and Cities
From Theory to Application
Zhang, Xingxing
Springer Verlag, Singapore
09/2022
450
Mole
Inglês
9789811627804
15 a 20 dias
868
Descrição não disponível.
The evolving of data-driven analytics for buildings and cities towards sustainability.- Data-driven approaches for prediction and classification of building energy consumption.- Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks.- Cluster Analysis for Occupant-behaviour based Electricity Load Patterns in Buildings: A Case Study in Shanghai Residences.- A data-driven model predictive control for lighting system based on historical occupancy in an office building: Methodology development.- Tailoring future climate data for building energy simulation.- A solar photovoltaic/thermal (PV/T) concentrator for building application in Sweden using Monte Carlo method.- Influencing factors for occupants' window-opening behaviour in an office building through logistic regression and Pearson correlation approaches.- Reinforcement learning methodologies for controlling occupant comfort in buildings.- A novel Reinforcement learning method for improving occupant comfort via window opening and closing. 2942492291991671341156161
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Energy;Thermal Comfort;Occupant Behavior;District Control;Future Climate;Neural Networks;Genetic Algorithm;Clustering;Agent-based Modelling;Reinforcement Learning
The evolving of data-driven analytics for buildings and cities towards sustainability.- Data-driven approaches for prediction and classification of building energy consumption.- Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks.- Cluster Analysis for Occupant-behaviour based Electricity Load Patterns in Buildings: A Case Study in Shanghai Residences.- A data-driven model predictive control for lighting system based on historical occupancy in an office building: Methodology development.- Tailoring future climate data for building energy simulation.- A solar photovoltaic/thermal (PV/T) concentrator for building application in Sweden using Monte Carlo method.- Influencing factors for occupants' window-opening behaviour in an office building through logistic regression and Pearson correlation approaches.- Reinforcement learning methodologies for controlling occupant comfort in buildings.- A novel Reinforcement learning method for improving occupant comfort via window opening and closing. 2942492291991671341156161
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
