ISBN: 9786203855418 - predictive modelling of building energy system (5 resultados)

ISBN: 
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (5)

  • Nuevo (5)

a

Intervalo de precios personalizado (EUR)

a

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2021

    6203855413 / 9786203855418

    • Tapa blanda

    Librería: preigu, Osnabrück, Alemaniapreigu

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 50,25

    Envío por EUR 70,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Predictive Modelling of Building Energy System | Kangji Li (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203855418 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Apr 2021, 2021

    6203855413 / 9786203855418

    • Tapa blanda
    • Impresión bajo demanda

    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 57,90

    Envío por EUR 23,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 200 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2021

    6203855413 / 9786203855418

    • Tapa blanda
    • Impresión bajo demanda

    Librería: moluna, Greven, Alemaniamoluna

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 48,42

    Envío por EUR 48,99 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Li KangjiKangji Li is currently a Professor in the School of Electrical & Information Engineering, Jiangsu University, China. He obtained his Ph.D. degree (Control Science and Engineering) from the Institute of Cyber-Systems & Contr.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2021

    6203855413 / 9786203855418

    • Tapa blanda
    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 65,47

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Apr 2021, 2021

    6203855413 / 9786203855418

    • Tapa blanda
    • Impresión bajo demanda

    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 57,90

    Envío por EUR 60,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch.…