Data-Driven Modelling of Non-Domestic Buildings Energy Performance

Data-Driven Modelling of Non-Domestic Buildings Energy Performance

Supporting Building Retrofit Planning

Pour Rahimian, Farzad; Seyedzadeh, Saleh

Springer Nature Switzerland AG

01/2022

153

Mole

Inglês

9783030647537

15 a 20 dias

267

Descrição não disponível.
Introduction.- Building Energy Performance Assessment.- Machine Learning for Building Energy Forecasting.- Building Retrofit Planning.- Machine Learning Models for Prediction of Building Energy Performance.- Building Energy Data Driven Model Improved by Multi-Objective Optimisation.- Modelling Energy Performance of Non-Domestic Buildings.
Building Energy Performance;Building Energy Modelling;Data-Driven Modelling;Machine Learning;Energy Prediction;Deep Energy Retrofit;Multi-Objective Optimisation;Decision-Making System;Energy Performance Indicator;Building Energy Retrofit