{"product_id":"data-driven-modelling-of-non-domestic-buildings-energy-performance-supporting-building-retrofit-planning-von-farzad-pour-rahimian-saleh-seyedzadeh","title":"Data-Driven Modelling of Non-Domestic Buildings Energy Performance","description":"\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \u003cp\u003eThis 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.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThis 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.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThis 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.\u003c\/p\u003e\n                                \n                \u003cbr\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783030647537\"\u003e\u003ch3\u003eSupporting Building Retrofit Planning\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783030647506\"\u003e\u003ch3\u003eSupporting Building Retrofit Planning\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9783030647537","offer_id":39765398847581,"sku":"9783030647537","price":149.79,"currency_code":"EUR","in_stock":true},{"title":"Hardcover - 9783030647506","offer_id":32981040201821,"sku":"9783030647506","price":149.79,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/6016c2f6-543f-4504-a23c-6359cb9c1792.jpg?v=1778732615","url":"https:\/\/shop.autorenwelt.de\/products\/data-driven-modelling-of-non-domestic-buildings-energy-performance-supporting-building-retrofit-planning-von-farzad-pour-rahimian-saleh-seyedzadeh","provider":"Autorenwelt Shop","version":"1.0","type":"link"}