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 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 …

Prediction of energy consumption in hotel buildings via support vector machines

M Shao, X Wang, Z Bu, X Chen, Y Wang - Sustainable Cities and Society, 2020 - Elsevier
This paper studies and analyzes the energy consumption of hotel buildings by establishing
a support vector machine energy consumption prediction model. The support vector …

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 …

Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools

A Tsanas, A Xifara - Energy and buildings, 2012 - Elsevier
We develop a statistical machine learning framework to study the effect of eight input
variables (relative compactness, surface area, wall area, roof area, overall height …

Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks

C Deb, LS Eang, J Yang, M Santamouris - Energy and Buildings, 2016 - Elsevier
This study presents a methodology to forecast diurnal cooling load energy consumption for
institutional buildings using data driven techniques. The cases for three institutional …

Review on occupancy detection and prediction in building simulation

Y Ding, S Han, Z Tian, J Yao, W Chen, Q Zhang - Building Simulation, 2022 - Springer
Energy simulation results for buildings have significantly deviated from actual consumption
because of the uncertainty and randomness of occupant behavior. Such differences are …

Building information modeling for energy retrofitting–A review

L Sanhudo, NMM Ramos, JP Martins… - … and Sustainable Energy …, 2018 - Elsevier
Abstract Building Information Modeling (BIM), as a rising technology in the Architecture,
Engineering and Construction (AEC) industry, has been applied to various research topics …

Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings

J Yang, M Santamouris, SE Lee - Energy and Buildings, 2016 - Elsevier
Occupancy information in a building is critical in terms of indoor environmental quality,
energy consumption and building energy simulation. However, it is not easy to gather and …

Multiple regression model for fast prediction of the heating energy demand

T Catalina, V Iordache, B Caracaleanu - Energy and buildings, 2013 - Elsevier
Nowadays, heating energy demand has become a significant estimator used during the
design stage of any new building. In this paper we are proposing a model to predict the …