Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook
Energy demand fluctuations due to low probability high impact (LPHI) micro-climatic events
such as urban heat island effect (UHI) and heatwaves, pose significant challenges for urban …
such as urban heat island effect (UHI) and heatwaves, pose significant challenges for urban …
Urban Building Energy Modeling to Support Climate-Sensitive Planning in the Suburban Areas of Santiago de Chile
Greenhouse gas emissions depend on natural and anthropic phenomena; however, to
reduce emissions, we can only intervene in terms of anthropic causes. Human activity is very …
reduce emissions, we can only intervene in terms of anthropic causes. Human activity is very …
[HTML][HTML] Ranking building design and operation parameters for residential heating demand forecasting with machine learning
M Alvarez-Sanz, FA Satriya, J Teres-Zubiaga… - Journal of Building …, 2024 - Elsevier
Abstract The European Union's Energy Performance in Buildings Directive has made
significant strides in enhancing building energy efficiency since its inception in 2002 …
significant strides in enhancing building energy efficiency since its inception in 2002 …
[HTML][HTML] U-value data on an urban scale: Outlier detection using comparative thermography to improve data quality
M Geske, A Benz, C Voelker - Energy and Buildings, 2024 - Elsevier
Due to climate change and limited energy resources, it is becoming increasingly important to
analyse and optimise the energy performance of existing building stocks. Urban building …
analyse and optimise the energy performance of existing building stocks. Urban building …
Urban residential building stock synthetic datasets for building energy performance analysis
The urban building stock dataset consists of synthetic input and output data for the energy
simulation of one million buildings. The dataset consists of four different residential types …
simulation of one million buildings. The dataset consists of four different residential types …
Controllable cross-building multi-objective optimisation for NZEBs: A framework Utilising parametric generation and intelligent algorithms
R Liu, T Fang, Y Cui, Y Wang - Applied Energy, 2024 - Elsevier
Balancing performance and cost are crucial in optimising nearly zero-energy buildings. This
study proposes a method for efficient preliminary design tailored to diverse requirements. It …
study proposes a method for efficient preliminary design tailored to diverse requirements. It …
Informing building retrofits at low computational costs: a multi-objective optimisation using machine learning surrogates of building performance simulation models
E Markarian, S Qiblawi, S Krishnan… - Journal of Building …, 2024 - Taylor & Francis
Machine learning (ML) algorithms are increasingly used as surrogates for building
performance simulation (BPS) models to leverage their energy predictive capabilities while …
performance simulation (BPS) models to leverage their energy predictive capabilities while …
Advancing Urban Building Energy Modeling: Building Energy Simulations for Three Commercial Building Stocks through Archetype Development
MU Hossain, I Cicco, MM Bilec - Buildings, 2024 - mdpi.com
Urban building energy models (UBEMs), developed to understand the energy performance
of building stocks of a region, can aid in key decisions related to energy policy and climate …
of building stocks of a region, can aid in key decisions related to energy policy and climate …
Towards advanced uncertainty and sensitivity analysis of building energy performance using machine learning techniques
W Tian - Journal of Building Performance Simulation, 2024 - Taylor & Francis
Uncertainty analysis quantifies the inherently uncertain nature of building energy
performance, whereas sensitivity analysis identifies key factors to explain variations in …
performance, whereas sensitivity analysis identifies key factors to explain variations in …
An intelligent climate monitoring system for hygrothermal virtual measurement in closed buildings using Internet-of-things and artificial hydrocarbon networks
Studies analyzing indoor thermal environments comprising temperature and humidity may
be insufficient when obtaining data from sensors, which may be susceptible to inaccurate or …
be insufficient when obtaining data from sensors, which may be susceptible to inaccurate or …