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Journal ArticleDOI

Combining GIS-based statistical and engineering urban heat consumption models: Towards a new framework for multi-scale policy support

TLDR
In this paper, the authors compared two building heat consumption models for urban scale applications: a statistical model based on 2D-GIS and multiple linear regression, and an engineering model making use of 3D city models and monthly energy balance of standard EN ISO 13790.
About
This article is published in Energy and Buildings.The article was published on 2015-11-15. It has received 123 citations till now. The article focuses on the topics: Energy consumption & 3D city models.

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Citations
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Applications of 3D City Models: State of the Art Review

TL;DR: This study demonstrates that 3D city models are employed in at least 29 use cases that are a part of more than 100 applications that could be useful for scientists as well as stakeholders in the geospatial industry.
Journal ArticleDOI

A review of data-driven approaches for prediction and classification of building energy consumption

TL;DR: The conclusions drawn in this review could facilitate future micro-scale changes of energy use for a particular building through the appropriate retrofit and the inclusion of renewable energy technologies and paves an avenue to explore potential in macro-scale energy-reduction with consideration of customer demands.
Journal ArticleDOI

An improved LOD specification for 3D building models

TL;DR: A refined set of 16 LODs focused on the grade of the exterior geometry of buildings, which provide a stricter specification and allow less modelling freedom, and can be considered format-agnostic.
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Modeling Boston: A workflow for the efficient generation and maintenance of urban building energy models from existing geospatial datasets

TL;DR: In this paper, the authors developed a citywide UBEM based on official GIS datasets and a custom building archetype library for estimating citywide hourly energy demands at the building level.
Journal ArticleDOI

Modeling the heating and cooling energy demand of urban buildings at city scale

TL;DR: In this paper, the authors give an overview of city energy simulation models from the point of view of short energy dynamics, and review the related modeling techniques, which generally involve detailed approaches and highlight computational costs of such simulations as key issue to overcome towards reliable microsimulation of the power demand of urban areas.
References
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Journal ArticleDOI

Modeling of end-use energy consumption in the residential sector: A review of modeling techniques

TL;DR: In this paper, the authors provide an up-to-date review of the various modeling techniques used for modeling residential sector energy consumption, focusing on the strengths, shortcomings and purposes.
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A review of bottom-up building stock models for energy consumption in the residential sector

TL;DR: In this paper, bottom-up and top-down building stock models have been used to estimate the baseline energy demand of the existing building stock, explore the technical and economic effects of different CO2 emission reduction strategies over time, including the impact of new technologies, and identify the effect of emission reduction strategy on indoor environmental quality.
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The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock

TL;DR: In this article, the effect of occupant behaviour on energy consumption for space heating was investigated in the Netherlands by determining its effect on the variation of energy consumption in dwellings while controlling for building characteristics.
BookDOI

Plane answers to complex questions: the theory of linear models

TL;DR: In this article, one-way ANOVA and multiple comparison techniques were used to estimate the covariance of a model with a multifactor analysis of Variance component in a design model.
Journal ArticleDOI

Spatial distribution of urban building energy consumption by end use

TL;DR: In this article, the authors estimate the building sector energy end-use intensity (kwh/m2 floor area) for space heating, domestic hot water, electricity for space cooling and electricity for non-space cooling applications in New York City.
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