Sustainable residential building energy consumption forecasting for smart cities using optimal weighted voting ensemble learning
In recent times, smart-built environments have gone through an incessant transformation,
becoming more independent and sensitive ecosystems which can balance energy …
becoming more independent and sensitive ecosystems which can balance energy …
Nature-inspired metaheuristic ensemble model for forecasting energy consumption in residential buildings
As the global economy expands, both residential and commercial buildings consume an
increasing proportion of the total energy that is used by buildings. Energy simulation and …
increasing proportion of the total energy that is used by buildings. Energy simulation and …
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 …
Estimates of residential building energy consumption using a multi-verse optimizer-based support vector machine with k-fold cross-validation
H Tabrizchi, MM Javidi, V Amirzadeh - Evolving Systems, 2021 - Springer
The ever-increasing human population, building constructions, and technology usages have
currently caused electric consumption to grow significantly. Accordingly, some of the efficient …
currently caused electric consumption to grow significantly. Accordingly, some of the efficient …
Weighted aggregated ensemble model for energy demand management of buildings
N Pachauri, CW Ahn - Energy, 2023 - Elsevier
Accurate building energy consumption prediction is essential for achieving energy savings
and boosting the HVAC system's efficiency of operations. Therefore, in this work, a novel …
and boosting the HVAC system's efficiency of operations. Therefore, in this work, a novel …
Improving energy consumption prediction for residential buildings using Modified Wild Horse Optimization with Deep Learning model
The consumption of a significant quantity of energy in buildings has been linked to the
emergence of environmental problems that can have unfavourable effects on people. The …
emergence of environmental problems that can have unfavourable effects on people. The …
A hybrid model for building energy consumption forecasting using long short term memory networks
Data driven building energy consumption forecasting models play a significant role in
enhancing the energy efficiency of the buildings through building energy management …
enhancing the energy efficiency of the buildings through building energy management …
An ensemble machine learning model for enhancing the prediction accuracy of energy consumption in buildings
Predicting building energy use is necessary for energy planning, management, and
conservation. It is difficult to achieve accurate prediction results due to the inherent …
conservation. It is difficult to achieve accurate prediction results due to the inherent …
Accurate forecasting of building energy consumption via a novel ensembled deep learning method considering the cyclic feature
Short-term forecasting of building energy consumption (BEC) is significant for building
energy reduction and real-time demand response. In this study, we propose a new method …
energy reduction and real-time demand response. In this study, we propose a new method …
Machine learning for estimation of building energy consumption and performance: a review
Ever growing population and progressive municipal business demands for constructing new
buildings are known as the foremost contributor to greenhouse gasses. Therefore …
buildings are known as the foremost contributor to greenhouse gasses. Therefore …