[HTML][HTML] A comparative study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in estimating the heating load of buildings' energy efficiency for smart city planning
Energy-efficiency is one of the critical issues in smart cities. It is an essential basis for
optimizing smart cities planning. This study proposed four new artificial intelligence (AI) …
optimizing smart cities planning. This study proposed four new artificial intelligence (AI) …
An ANN-based fast building energy consumption prediction method for complex architectural form at the early design stage
Z Li, J Dai, H Chen, B Lin - Building Simulation, 2019 - Springer
How to control the growth of building energy consumption and achieve the goal of energy
saving and emission reduction while ensuring people's growing demand for indoor comfort …
saving and emission reduction while ensuring people's growing demand for indoor comfort …
[HTML][HTML] Multi-objective optimization of energy consumption and surface quality in nanofluid SQCL assisted face milling
Considering the significance of improving the energy efficiency, surface quality and material
removal quantity of machining processes, the present study is conducted in the form of an …
removal quantity of machining processes, the present study is conducted in the form of an …
[HTML][HTML] 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 …
[HTML][HTML] Real time energy performance control for industrial compressed air systems: Methodology and applications
M Benedetti, F Bonfà, V Introna, A Santolamazza… - Energies, 2019 - mdpi.com
Most manufacturing and process industries require compressed air to such an extent that in
Europe, for instance, about 10% of the total electrical energy consumption of industries is …
Europe, for instance, about 10% of the total electrical energy consumption of industries is …
A data envelopment analysis (DEA) model for building energy benchmarking
B Ashuri, J Wang, M Shahandashti… - Journal of Engineering …, 2019 - emerald.com
Purpose Building energy benchmarking is required for adopting an energy certification
scheme, promoting energy efficiency and reducing energy consumption. It demonstrates the …
scheme, promoting energy efficiency and reducing energy consumption. It demonstrates the …
Cooling load estimation using machine learning techniques
K Zingre, S Srinivasan, M Marzband - 2019 - nrl.northumbria.ac.uk
Estimating cooling loads in heating, ventilation, and air-conditioning (HVAC) systems is a
complex task. This is mainly due to its dependence on numerous factors which are both …
complex task. This is mainly due to its dependence on numerous factors which are both …
[HTML][HTML] A novel method for nZEB internal coverings design based on neural networks
JA Orosa, D Vergara, ÁM Costa, R Bouzón - Coatings, 2019 - mdpi.com
Research from the International Energy Agency about indoor ambiences and nearly zero
energy buildings (nZEB) in the past has been centred on different aspects such as the …
energy buildings (nZEB) in the past has been centred on different aspects such as the …