Kontakt
Jak nakupovat
Doručení
Nákupní rádce
Data-Driven Modelling of Non-Domestic Buildings Energy Performance
Angličtina
330 b
Až 30 dní na vrácení zboží
Zákazníci také koupili
/
Hra
606
Kč
/
Brožovaná
1 883
Kč
/
Brožovaná
153
Kč
/
Brožovaná
279
Kč
/
Brožovaná
258
Kč
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.
Informace o knize
Angličtina
Darujte tuto knihu ještě dnes
Je to snadné
1 Přidejte knihu do košíku a zvolte doručit jako dárek 2 Obratem vám zašleme poukaz 3 Kniha dorazí na adresu obdarovanéhoMohlo by vás také zajímat
/
Pevná
576
Kč
/
Brožovaná
341
Kč
/
Brožovaná
371
Kč
/
Brožovaná
2 357
Kč
Ahoj! Jsem Libroamiko, tvůj knižní rádce.
Jak ti můžu pomoct?