A review and reflection on open datasets of city-level building energy use and their applications
Data related to building energy use fuels the research and applications on building energy
efficiency, which is an essential measure to address global energy and environmental …
efficiency, which is an essential measure to address global energy and environmental …
[HTML][HTML] Information modelling for urban building energy simulation—A taxonomic review
Climate change, increasing emissions and rising global temperatures have gradually
affected the way we think about the future of our planet. Urban areas possess significant …
affected the way we think about the future of our planet. Urban areas possess significant …
[HTML][HTML] Reviewing the application of machine learning methods to model urban form indicators in planning decision support systems: Potential, issues and …
Modern cities dynamically face several challenges including digitalization, sustainability,
resilience and economic development. Urban planners and designers must develop urban …
resilience and economic development. Urban planners and designers must develop urban …
Digital twin for accelerating sustainability in positive energy district: a review of simulation tools and applications
A digital twin is regarded as a potential solution to optimize positive energy districts (PED).
This paper presents a compact review about digital twins for PED from aspects of concepts …
This paper presents a compact review about digital twins for PED from aspects of concepts …
Artificial intelligence based methods for smart and sustainable urban planning: a systematic survey
The world's cities are facing various challenges such as rapid urbanization, poverty, climate
change, pollution, sustainable and inclusive development. Building futuristic smart and …
change, pollution, sustainable and inclusive development. Building futuristic smart and …
Archetype building energy modeling approaches and applications: A review
Abstract Archetype Building Energy Models (ABEMs) are representations of buildings in a
certain region that enable the assessment of energy use across building stocks in a bottom …
certain region that enable the assessment of energy use across building stocks in a bottom …
Inference Based on the Stochastic Expectation Maximization Algorithm in a Kumaraswamy Model with an Application to COVID-19 Cases in Chile
J Figueroa-Zúñiga, JG Toledo, B Lagos-Alvarez… - Mathematics, 2023 - mdpi.com
Extensive research has been conducted on models that utilize the Kumaraswamy
distribution to describe continuous variables with bounded support. In this study, we …
distribution to describe continuous variables with bounded support. In this study, we …
Gaussian-based plug load profile prediction in non-residential buildings archetype
This paper presents an innovative approach to addressing the prevalent challenge of
simulation uncertainty in urban building energy modeling (UBEM), focusing on accurately …
simulation uncertainty in urban building energy modeling (UBEM), focusing on accurately …
Selection of a Transparent Meta-Model Algorithm for Feasibility Analysis Stage of Energy Efficient Building Design: Clustering vs. Tree
SY Choi, SH Kim - Energies, 2022 - mdpi.com
Energy Efficient Building (EEB) design decisions that have traditionally been made in the
later stages of the design process now often need to be made as early as the feasibility …
later stages of the design process now often need to be made as early as the feasibility …
[HTML][HTML] Generating hourly electricity demand data for large-scale single-family buildings by a decomposition-recombination method
Household electricity demand has substantial impacts on local grid operation, energy
storage and the energy performance of buildings. Hourly demand data at district or urban …
storage and the energy performance of buildings. Hourly demand data at district or urban …