[HTML][HTML] Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis

U Ali, MH Shamsi, C Hoare, E Mangina… - Energy and buildings, 2021 - Elsevier
The world has witnessed a significant population shift to urban areas over the past few
decades. Urban areas account for about two-thirds of the world's total primary energy …

Building energy model calibration: A review of the state of the art in approaches, methods, and tools

O Vera-Piazzini, M Scarpa - Journal of Building Engineering, 2024 - Elsevier
Building energy simulations can be effective in the real world only if the building energy
model is appropriately tuned, ie, calibrated. Whatever the purpose, from detailed energy …

[HTML][HTML] A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making

U Ali, MH Shamsi, M Bohacek, K Purcell, C Hoare… - Applied Energy, 2020 - Elsevier
Urban planners, local authorities, and energy policymakers often develop strategic
sustainable energy plans for the urban building stock in order to minimize overall energy …

[HTML][HTML] Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach

U Ali, S Bano, MH Shamsi, D Sood, C Hoare, W Zuo… - Energy and …, 2024 - Elsevier
Stakeholders such as urban planners and energy policymakers use building energy
performance modeling and analysis to develop strategic sustainable energy plans with the …

[HTML][HTML] A data-driven approach to optimize urban scale energy retrofit decisions for residential buildings

U Ali, MH Shamsi, M Bohacek, C Hoare, K Purcell… - Applied Energy, 2020 - Elsevier
Urban planners face significant challenges when identifying building energy efficiency
opportunities and developing strategies to achieve efficient and sustainable urban …

Comprehensive preference learning and feature validity for designing energy-efficient residential buildings using machine learning paradigms

W Gao, J Alsarraf, H Moayedi, A Shahsavar… - Applied Soft …, 2019 - Elsevier
Having a reliable approximation of heating load (HL) and cooling load (CL) is a substantial
task for evaluating the energy performance of buildings (EPB). Also, the appearance of soft …

A data-driven approach for multi-scale building archetypes development

U Ali, MH Shamsi, C Hoare, E Mangina… - Energy and buildings, 2019 - Elsevier
Globally the building sector accounts for a significant portion of the overall energy demand
and greenhouse gas emissions of any country. The most common approach for the …

Implementation of BIM energy analysis and monte carlo simulation for estimating building energy performance based on regression approach: A case study

F Tahmasebinia, R Jiang, S Sepasgozar, J Wei, Y Ding… - Buildings, 2022 - mdpi.com
The energy performance prediction of buildings plays a significant role in the design phases.
Theoretical analysis and statistical analysis are typically carried out to predict energy …

Design of an energy pile based on CPT data using soft computing techniques

P Kumar, P Samui - Infrastructures, 2022 - mdpi.com
The present study focused on the design of geothermal energy piles based on cone
penetration test (CPT) data, which was obtained from the Perniö test site in Finland. The …

[HTML][HTML] Accurate identification of influential building parameters through an integration of global sensitivity and feature selection techniques

J Neale, MH Shamsi, E Mangina, D Finn, J O'Donnell - Applied Energy, 2022 - Elsevier
The development of building energy performance simulation models often requires
significant time and effort to achieve an acceptable degree of prediction accuracy. As such …