An ensemble machine learning model for enhancing the prediction accuracy of energy consumption in buildings

NT Ngo, AD Pham, TTH Truong, NS Truong… - Arabian Journal for …, 2022 - Springer
Predicting building energy use is necessary for energy planning, management, and
conservation. It is difficult to achieve accurate prediction results due to the inherent …

A systematic analysis for energy performance predictions in residential buildings using ensemble learning

M Goyal, M Pandey - Arabian Journal for Science and Engineering, 2021 - Springer
Energy being a precious resource needs to be mindfully utilized, so that efficiency is
achieved and its wastage is curbed. Globally, multi-storeyed buildings are the biggest …

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 …

Exploring the Predictive Power of Machine Learning for Energy Consumption in Buildings

V Sharma - Journal of Technological Innovations, 2022 - jtipublishing.com
This study investigates the application of machine learning techniques to predict energy
consumption in buildings. Five machine learning models (linear regression, decision trees …

[HTML][HTML] Energy consumption prediction by using machine learning for smart building: Case study in Malaysia

MKM Shapi, NA Ramli, LJ Awalin - Developments in the Built Environment, 2021 - Elsevier
Abstract Building Energy Management System (BEMS) has been a substantial topic
nowadays due to its importance in reducing energy wastage. However, the performance of …

Machine Learning Algorithms for Predicting Energy Consumption in Educational Buildings

K Elhabyb, A Baina, M Bellafkih… - International Journal of …, 2024 - Wiley Online Library
In the past few years, there has been a notable interest in the application of machine
learning methods to enhance energy efficiency in the smart building industry. The paper …

Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

AD Pham, NT Ngo, TTH Truong, NT Huynh… - Journal of Cleaner …, 2020 - Elsevier
Buildings must be energy efficient and sustainable because buildings have contributed
significantly to world energy consumption and greenhouse gas emission. Predicting energy …

Accurate prediction of hourly energy consumption in a residential building based on the occupancy rate using machine learning approaches

LHM Truong, KHK Chow, R Luevisadpaibul… - Applied Sciences, 2021 - mdpi.com
In this paper, a novel deep neural network-based energy prediction algorithm for accurately
forecasting the day-ahead hourly energy consumption profile of a residential building …

Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques

R Olu-Ajayi, H Alaka, I Sulaimon, F Sunmola… - Journal of Building …, 2022 - Elsevier
The high proportion of energy consumed in buildings has engendered the manifestation of
many environmental problems which deploy adverse impacts on the existence of mankind …

Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment

T Ahmad, H Chen, R Huang, G Yabin, J Wang, J Shair… - Energy, 2018 - Elsevier
The substantial measure of energy usage connected to the building atmosphere supports
and sustains power usage modeling diligence. Amongst the numerous strategies to …