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  1. Learning from experts
    energy efficiency in residential buildings
    Author: Billio, Monica; Casarin, Roberto; Costola, Michele; Veggente, Veronica
    Published: [2023]
    Publisher:  Leibniz Institute for Financial Research SAFE, Sustainable Architecture for Finance in Europe, [Frankfurt am Main]

    Measuring and reducing energy consumption constitutes a crucial concern in public policies aimed at mitigating global warming. The real estate sector faces the challenge of enhancing building efficiency, where insights from experts play a pivotal... more

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    Resolving-System (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 431
    Inter-library loan:
    No inter-library loan

     

    Measuring and reducing energy consumption constitutes a crucial concern in public policies aimed at mitigating global warming. The real estate sector faces the challenge of enhancing building efficiency, where insights from experts play a pivotal role in the evaluation process. This research employs a machine learning approach to analyze expert opinions, seeking to extract the key determinants influencing potential residential building efficiency and establishing an efficient prediction framework. The study leverages open Energy Performance Certificate databases from two countries with distinct latitudes, namely the UK and Italy, to investigate whether enhancing energy efficiency necessitates different intervention approaches. The findings reveal the existence of non-linear relationships between efficiency and building characteristics, which cannot be captured by conventional linear modeling frameworks. By offering insights into the determinants of residential building efficiency, this study provides guidance to policymakers and stakeholders in formulating effective and sustainable strategies for energy efficiency improvement.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/279413
    Series: SAFE working paper ; no. 403 (October 2023)
    Subjects: Energy efficiency; Energy Performance Certificate; Machine learning; Tree-based models; big data
    Scope: 1 Online-Ressource (circa 49 Seiten), Illustrationen
  2. Better energy cost information changes household property investment decisions
    evidence from a nationwide experiment
    Author: Carroll, James; Denny, Eleanor; Lyons, Ronan C.
    Published: [2020]
    Publisher:  Trinity College Dublin, Department of Economics, Dublin

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    Verlag (kostenfrei)
    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 451
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: TEP working paper ; no. 20, 15 (August 2020)
    Subjects: Energy Labels; Energy Efficiency Premium; Energy Performance Certificate; Randomized Controlled Trial
    Scope: 1 Online-Ressource (circa 30 Seiten), Illustrationen