A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models

Z Wang, RS Srinivasan - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Building energy use prediction plays an important role in building energy management and
conservation as it can help us to evaluate building energy efficiency, conduct building …

A state of the art review on the prediction of building energy consumption using data-driven technique and evolutionary algorithms

K Li, W Xue, G Tan, AS Denzer - … Engineering Research and …, 2020 - journals.sagepub.com
Energy consumption forecasting for buildings plays a significant role in building energy
management, conservation and fault diagnosis. Owing to the ease of use and adaptability of …

A novel ensemble learning approach to support building energy use prediction

Z Wang, Y Wang, RS Srinivasan - Energy and Buildings, 2018 - Elsevier
Broadly speaking, building energy use prediction can be classified into two categories
based on modeling approaches namely engineering and Artificial Intelligence (AI). While …

A review of data-driven building energy consumption prediction studies

K Amasyali, NM El-Gohary - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy is the lifeblood of modern societies. In the past decades, the world's energy
consumption and associated CO 2 emissions increased rapidly due to the increases in …

A review of the-state-of-the-art in data-driven approaches for building energy prediction

Y Sun, F Haghighat, BCM Fung - Energy and Buildings, 2020 - Elsevier
Building energy prediction plays a vital role in developing a model predictive controller for
consumers and optimizing energy distribution plan for utilities. Common approaches for …

A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review

T Ahmad, H Chen, Y Guo, J Wang - Energy and Buildings, 2018 - Elsevier
Energy consumption models play an integral part in energy management and conservation,
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …

[HTML][HTML] Data-driven tools for building energy consumption prediction: A review

R Olu-Ajayi, H Alaka, H Owolabi, L Akanbi, S Ganiyu - Energies, 2023 - mdpi.com
The development of data-driven building energy consumption prediction models has gained
more attention in research due to its relevance for energy planning and conservation …

Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction

Z Liu, D Wu, Y Liu, Z Han, L Lun… - Energy Exploration …, 2019 - journals.sagepub.com
It is of great significance to achieve the prediction of building energy consumption. However,
machine learning, as a promising technique for many practical applications, was rarely …

[HTML][HTML] Machine learning for estimation of building energy consumption and performance: a review

S Seyedzadeh, FP Rahimian, I Glesk… - Visualization in …, 2018 - Springer
Ever growing population and progressive municipal business demands for constructing new
buildings are known as the foremost contributor to greenhouse gasses. Therefore …

Buildings' energy consumption prediction models based on buildings' characteristics: Research trends, taxonomy, and performance measures

AA Al-Shargabi, A Almhafdy, DM Ibrahim… - Journal of Building …, 2022 - Elsevier
Building's energy consumption prediction is essential to achieve energy efficiency and
sustain-ability. Building's energy consumption is highly dependent on buildings' …