Data-Driven Approach to Identify the Impacts of Urban Neighborhood Characteristics on Building Energy Consumption

Lufan Wang, Nora M. El-Gohary

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Buildings account for a large amount of energy consumption in urban areas. Understanding the impacts of urban neighborhood characteristics on building energy consumption can help identify ways of how to improve neighborhood energy and environmental performance towards a more sustainable built environment. Despite the availability of many building energy consumption assessment/prediction models and tools, the majority of existing efforts mainly focus on the building scale; and the small number of neighborhood-scale analyses are typically conducted using building-scale simulations instead of taking a data-driven approach. To address these gaps, this paper proposes a hybrid machine-learning approach (Clus-SVR) that combines a support vector regression (SVR) algorithm with a clustering algorithm for predicting the building energy consumption at the building scale and the neighborhood scale based on the socioeconomic and building characteristics of the neighborhood (e.g., per capita income, average gross floor area, etc.). As a preliminary study, the proposed Clus-SVR algorithm was tested in predicting building-scale and neighborhood-scale consumption using the energy consumption data of the City of Chicago, and was evaluated in terms of mean absolute percentage of error (MAPE) and coefficient of variation (CV). The paper discusses the proposed algorithm and the performance results, and identifies the impacts of urban neighborhood features on building energy consumption levels.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2018
Subtitle of host publicationSustainable Design and Construction and Education - Selected Papers from the Construction Research Congress 2018
EditorsYongcheol Lee, Rebecca Harris, Chao Wang, Christofer Harper, Charles Berryman
PublisherAmerican Society of Civil Engineers
Pages664-674
Number of pages11
ISBN (Electronic)9780784481301
DOIs
StatePublished - Jan 1 2018
EventConstruction Research Congress 2018: Sustainable Design and Construction and Education, CRC 2018 - New Orleans, United States
Duration: Apr 2 2018Apr 4 2018

Publication series

NameConstruction Research Congress 2018: Sustainable Design and Construction and Education - Selected Papers from the Construction Research Congress 2018
Volume2018-April

Other

OtherConstruction Research Congress 2018: Sustainable Design and Construction and Education, CRC 2018
CountryUnited States
CityNew Orleans
Period4/2/184/4/18

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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