Improving the prediction of heating energy consumed at residential buildings using a combination of support vector regression and meta-heuristic algorithms
The growing population has caused to increase in energy demand worldwide. Since
significant energy consumption in the residential building sector is assigned to the heating …
significant energy consumption in the residential building sector is assigned to the heating …
Predicting the energy consumption in buildings using the optimized support vector regression model
W Cai, X Wen, C Li, J Shao, J Xu - Energy, 2023 - Elsevier
One of the most significant axes of regional, national, and worldwide energy policy is energy
efficiency in building design. In particular, the energy efficiency of HVAC systems is of …
efficiency in building design. In particular, the energy efficiency of HVAC systems is of …
Multi-criteria comprehensive study on predictive algorithm of hourly heating energy consumption for residential buildings
R Wang, S Lu, Q Li - Sustainable Cities and Society, 2019 - Elsevier
The increasing of building energy necessitates reliable energy consumption prediction.
Certain research work is necessary to thoroughly illustrate and compare advantages and …
Certain research work is necessary to thoroughly illustrate and compare advantages and …
Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms
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 …
to its immense potential in enhancing energy efficiency within building energy management …
Performance evaluation of two machine learning techniques in heating and cooling loads forecasting of residential buildings
A Moradzadeh, A Mansour-Saatloo… - Applied Sciences, 2020 - mdpi.com
Nowadays, since energy management of buildings contributes to the operation cost, many
efforts are made to optimize the energy consumption of buildings. In addition, the most …
efforts are made to optimize the energy consumption of buildings. In addition, the most …
Predicting heating load in energy-efficient buildings through machine learning techniques
The heating load calculation is the first step of the iterative heating, ventilation, and air
conditioning (HVAC) design procedure. In this study, we employed six machine learning …
conditioning (HVAC) design procedure. In this study, we employed six machine learning …
Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings
The building sector is the largest energy consumer accounting for 40% of global energy
usage. An energy forecast model supports decision-makers to manage electric utility …
usage. An energy forecast model supports decision-makers to manage electric utility …
Forecasting heating and cooling loads in residential buildings using machine learning: A comparative study of techniques and influential indicators
B Mehdizadeh Khorrami, A Soleimani… - Asian Journal of Civil …, 2024 - Springer
Residential buildings are a significant source of energy consumption and greenhouse gas
emissions, making it crucial to accurately predict their energy demand for reducing their …
emissions, making it crucial to accurately predict their energy demand for reducing their …
Heating and cooling loads forecasting for residential buildings based on hybrid machine learning applications: A comprehensive review and comparative analysis
A Moradzadeh, B Mohammadi-Ivatloo, M Abapour… - Ieee …, 2021 - ieeexplore.ieee.org
Prediction of building energy consumption plays an important role in energy conservation,
management, and planning. Continuously improving and enhancing the performance of …
management, and planning. Continuously improving and enhancing the performance of …
Predicting energy consumption in residential buildings using advanced machine learning algorithms
F Dinmohammadi, Y Han, M Shafiee - Energies, 2023 - mdpi.com
The share of residential building energy consumption in global energy consumption has
rapidly increased after the COVID-19 crisis. The accurate prediction of energy consumption …
rapidly increased after the COVID-19 crisis. The accurate prediction of energy consumption …
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