Download the fantastic book titled Data Driven Modelling of Non Domestic Buildings Energy Performance written by Saleh Seyedzadeh, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data Driven Modelling of Non Domestic Buildings Energy Performance", which was released on 15 January 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Architecture genre.
Summary of Data Driven Modelling of Non Domestic Buildings Energy Performance by Saleh Seyedzadeh PDF
This book outlines the data-driven modelling of building energy performance to support retrofit decision-making. It explains how to determine the appropriate machine learning (ML) model, explores the selection and expansion of a reasonable dataset and discusses the extraction of relevant features and maximisation of model accuracy. This book develops a framework for the quick selection of a ML model based on the data and application. It also proposes a method for optimising ML models for forecasting buildings energy loads by employing multi-objective optimisation with evolutionary algorithms. The book then develops an energy performance prediction model for non-domestic buildings using ML techniques, as well as utilising a case study to lay out the process of model development. Finally, the book outlines a framework to choose suitable artificial intelligence methods for modelling building energy performances. This book is of use to both academics and practising energy engineers, as it provides theoretical and practical advice relating to data-driven modelling for energy retrofitting of non-domestic buildings.
Detail About Data Driven Modelling of Non Domestic Buildings Energy Performance PDF
- Author : Saleh Seyedzadeh
- Publisher : Springer Nature
- Genre : Architecture
- Total Pages : 161 pages
- ISBN : 303064751X
- Release Date : 15 January 2021
- PDF File Size : 54,8 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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