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    Multiple Linear Regressions

    Abstract This chapter intends to develop a mathematical model that allows predicting, with an acceptable degree of uncertainty, the energy consumption and CO2 emissions for the office buildings in Chile. Through the multivariable regression method, diverse equations will be produced that will bear in mind the parameters mentioned for the different locations. In this way, the designers will be able to know the consequences that their decisions will have on the energy consumption and CO2 emissions. This research has an eminently practical nature and is susceptible to being applied in the future design and construction of buildings.

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    Multiple Linear Regressions

    Abstract This chapter intends to develop a mathematical model that allows predicting, with an acceptable degree of uncertainty, the energy consumption and CO2 emissions for the office buildings in Chile. Through the multivariable regression method, diverse equations will be produced that will bear in mind the parameters mentioned for the different locations. In this way, the designers will be able to know the consequences that their decisions will have on the energy consumption and CO2 emissions. This research has an eminently practical nature and is susceptible to being applied in the future design and construction of buildings.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Multiple Linear Regressions

    Abstract This chapter intends to develop a mathematical model that allows predicting, with an acceptable degree of uncertainty, the energy consumption and CO2 emissions for the office buildings in Chile. Through the multivariable regression method, diverse equations will be produced that will bear in mind the parameters mentioned for the different locations. In this way, the designers will be able to know the consequences that their decisions will have on the energy consumption and CO2 emissions. This research has an eminently practical nature and is susceptible to being applied in the future design and construction of buildings.

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    Title:

    Multiple Linear Regressions

    Contributors:

    Rubio-Bellido, Carlos (author) / Pérez-Fargallo, Alexis (author) / Pulido-Arcas, Jesús (author)

    Published in:

    Energy Optimization and Prediction in Office Buildings ; 47-64

    SpringerBriefs in Energy

    Publication date:

    2018-01-01

    Size:

    18 pages

    ISBN:

    978-3-319-90145-9 , 978-3-319-90146-6

    ISSN:

    2191-5539 , 2191-5520

    DOI:

    https://doi.org/10.1007/978-3-319-90146-6_4

    Type of media:

    Article/Chapter (Book)

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Energy , Sustainable Architecture/Green Buildings , Energy Efficiency , Building Construction and Design , Mathematical Models of Cognitive Processes and Neural Networks , Optimization

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