Обложка Predictive Modelling of Building Energy System
Название книги:

Predictive Modelling of Building Energy System

LAP LAMBERT Academic Publishing (2021-04-29 )

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ISBN-13:

978-620-3-85541-8

ISBN-10:
6203855413
EAN:
9786203855418
Язык Книги:
Английский
Краткое описание:
Building energy system modeling and energy usage prediction play an important role in fields of building energy management, power plants dispatch, and peak demand conflicting with grid security. Owing to the ease of use and adaptability of optimal solution seeking, data driven techniques have proved to be accurate and efficient tools for building and larger scale energy consumption prediction, and a large number of data-driven models were applied in the past two decades. In this book, the current research trends of energy use prediction are investigated and classified. Systematic introduction to the theoretical methods, basic steps and various application cases for building energy prediction is provided. Essential feature selection, over-fitting problem, and performance comparison is addressed. Several sets of real buildings' electricity usage data are collected for case studies including cases from energy prediction shooting organized by ASHRAE and cases from campus buildings in China and USA respectively.
Издательский Дом:
LAP LAMBERT Academic Publishing
Веб-сайт:
https://www.lap-publishing.com/
By (author) :
Kangji Li, Wenping Xue
Количество страниц:
200
Опубликовано:
2021-04-29
Акции:
В наличии
Категория:
Строительство и экологические технологии
Цена:
57.90 €
Ключевые слова:
Building energy, predictive modeling, Data-driven Model, Evolutionary Algorithms, ensemble scheme

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