AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Artificial Intelligence …, 2023 - Springer
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

[HTML][HTML] Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies

Y Pan, M Zhu, Y Lv, Y Yang, Y Liang, R Yin… - Advances in Applied …, 2023 - Elsevier
As one of the most important and advanced technology for carbon-mitigation in the building
sector, building performance simulation (BPS) has played an increasingly important role …

Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system

P Sharma, Z Said, A Kumar, S Nizetic, A Pandey… - Energy & …, 2022 - ACS Publications
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …

[HTML][HTML] An overview of machine learning applications for smart buildings

K Alanne, S Sierla - Sustainable Cities and Society, 2022 - Elsevier
The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …

Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms

S Afzal, BM Ziapour, A Shokri, H Shakibi, B Sobhani - Energy, 2023 - Elsevier
Building energy prediction has gained significant attention as a thriving research field owing
to its immense potential in enhancing energy efficiency within building energy management …

Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review

MS Mirnaghi, F Haghighat - Energy and Buildings, 2020 - Elsevier
Abnormal operation of HVAC systems can result in an increase in energy usage as well as
poor indoor air quality, thermal discomfort, and low productivity. Building automated systems …

[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 …

Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches

C Fan, D Yan, F Xiao, A Li, J An, X Kang - Building Simulation, 2021 - Springer
Buildings have a significant impact on global sustainability. During the past decades, a wide
variety of studies have been conducted throughout the building lifecycle for improving the …

Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification

Z Dong, J Liu, B Liu, K Li, X Li - Energy and Buildings, 2021 - Elsevier
Accurate building energy consumption prediction plays an important role in building energy
management and energy policy. However, traditional prediction methods of building energy …

Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability

J Wang, Y Li, RX Gao, F Zhang - Journal of Manufacturing Systems, 2022 - Elsevier
To overcome the limitations associated with purely physics-based and data-driven modeling
methods, hybrid, physics-based data-driven models have been developed, with improved …