[HTML][HTML] 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 …
[HTML][HTML] Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings
The development of a reliable energy use prediction model is still difficult due to the inherent
complex pattern of energy use data. There are few studies developing a prediction model for …
complex pattern of energy use data. There are few studies developing a prediction model for …
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 …
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 …
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 …
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 …
Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability
Buildings must be energy efficient and sustainable because buildings have contributed
significantly to world energy consumption and greenhouse gas emission. Predicting energy …
significantly to world energy consumption and greenhouse gas emission. Predicting energy …
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 …
management and energy policy. However, traditional prediction methods of building energy …
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 …
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 …
相关搜索
- time series energy use in buildings
- residential buildings energy consumption
- machine learning energy consumption
- residential buildings predictive algorithm
- office building ensemble learning
- residential buildings vector regression
- residential buildings combination of support
- multilayer perceptron optimization algorithms
- residential buildings heating energy
- machine learning energy efficiency