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Data-Driven Modelling of Non-Domestic Buildings Energy Performance: Supporting Building Retrofit Planning

Data-Driven Modelling of Non-Domestic Buildings Energy Performance: Supporting Building Retrofit Planning

Paperback

Series: Green Energy and Technology

Technology & EngineeringGeneral ArchitectureGeneral Construction & Renovation

ISBN10: 3030647536
ISBN13: 9783030647537
Publisher: Springer Nature
Published: Jan 16 2022
Pages: 153
Weight: 0.54
Height: 0.36 Width: 6.14 Depth: 9.21
Language: English

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.

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Seyedzadeh, Saleh

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General Architecture