[PDF][PDF] From BIM to digital twins: A systematic review of the evolution of intelligent building representations in the AEC-FM industry.

M Deng, CC Menassa, VR Kamat - Journal of Information Technology in …, 2021 - itcon.org
The widespread adoption of Building Information Modeling (BIM) and the recent emergence
of Internet of Things (IoT) applications offer several new insights and decision-making …

Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality

N Ma, D Aviv, H Guo, WW Braham - Renewable and Sustainable Energy …, 2021 - Elsevier
The indoor environment directly affects health and comfort as humans spend most of the day
indoors. However, improperly controlled ventilation systems can expend unnecessary …

Prediction and optimization of heating and cooling loads in a residential building based on multi-layer perceptron neural network and different optimization algorithms

Y Xu, F Li, A Asgari - Energy, 2022 - Elsevier
Since cooling and heating loads are regarded as significant parameters to examine the
energy performance of buildings, the need to predict and analyze them for the residential …

Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings

G Zhou, H Moayedi, M Bahiraei, Z Lyu - Journal of Cleaner Production, 2020 - Elsevier
In this paper, the Multi-Layer Perceptron (MLP) neural network is optimized with two
metaheuristic algorithms, namely Artificial Bee Colony (ABC) and Particle Swarm …

[HTML][HTML] Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions

VA Arowoiya, RC Moehler, Y Fang - Energy and Built Environment, 2024 - Elsevier
In recent years, the integration of digital technologies has grown rapidly in the field of
thermal comfort and energy efficiency for buildings. The concept of a digital twin …

A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency

I Costa-Carrapiço, R Raslan, JN González - Energy and Buildings, 2020 - Elsevier
Most common practices for solving building retrofit problems lack efficiency and overall
robustness. Knowledge of novel methods that support decision-making (DM) for retrofitting is …

A multi-objective optimization strategy for building carbon emission from the whole life cycle perspective

R Chen, YS Tsay, T Zhang - Energy, 2023 - Elsevier
This research proposed an integrated strategy for building performance optimization from
the whole life cycle perspective to explore the optimal building scheme. After the feature …

[HTML][HTML] Active consumer participation in smart energy systems

G Schweiger, LV Eckerstorfer, I Hafner… - Energy and …, 2020 - Elsevier
A pressing task for future energy systems is the design and operation of systems that
integrate large shares of renewable energy while improving overall system efficiency …

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 …

Combining physical approaches with deep learning techniques for urban building energy modeling: A comprehensive review and future research prospects

Z Li, J Ma, Y Tan, C Guo, X Li - Building and Environment, 2023 - Elsevier
In recent times, there has been a growing interest in urban building energy modeling
(UBEM), owing to its potential benefits for cities. These benefits include aiding city decision …