Application of artificial intelligence for prediction, optimization, and control of thermal energy storage systems
Energy storage is one of the core concepts demonstrated incredibly remarkable
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …
A review of climate adaptation of phase change material incorporated in building envelopes for passive energy conservation
T Yang, Y Ding, B Li, AK Athienitis - Building and Environment, 2023 - Elsevier
Phase change materials (PCMs) incorporated into building envelopes store large amount of
latent heat within a narrow temperature range, regulating heat flow between indoor and …
latent heat within a narrow temperature range, regulating heat flow between indoor and …
[HTML][HTML] A review of grout materials in geothermal energy applications
Ground heat exchangers are surrounded by grout material, making it one of the most
important components in geothermal energy applications since it significantly affects the …
important components in geothermal energy applications since it significantly affects the …
An RF and LSSVM–NSGA-II method for the multi-objective optimization of high-performance concrete durability
H Chen, T Deng, T Du, B Chen, MJ Skibniewski… - Cement and Concrete …, 2022 - Elsevier
The development of cost-effective high-performance concrete (HPC) has long been a focus
of concrete research. Multiple objectives are required for the design of the HPC mix …
of concrete research. Multiple objectives are required for the design of the HPC mix …
Optimization of high-performance concrete mix ratio design using machine learning
B Chen, L Wang, Z Feng, Y Liu, X Wu, Y Qin… - … Applications of Artificial …, 2023 - Elsevier
High-durability concrete is required in extremely cold or ocean environments, making the
design of concrete mixes highly important and complicated. In this study, a hybrid intelligent …
design of concrete mixes highly important and complicated. In this study, a hybrid intelligent …
Optimization of annual electricity consumption costs and the costs of insulation and phase change materials in the residential building using artificial neural network …
M Baghoolizadeh, SAHH Dehkordi… - Journal of Energy …, 2023 - Elsevier
Overuse of energy resources (especially in residential building) has been one of the most
important issues in recent decades. Researchers have often focused on the use of PCM …
important issues in recent decades. Researchers have often focused on the use of PCM …
Forecasting energy demand of PCM integrated residential buildings: A machine learning approach
M Zhussupbekov, SA Memon, SA Khawaja… - Journal of Building …, 2023 - Elsevier
Forecasting energy demand has become an essential element for energy stakeholders in
planning and reducing the energy consumption of buildings. Machine learning techniques …
planning and reducing the energy consumption of buildings. Machine learning techniques …
Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones
The early design stage provides the greatest opportunities to achieve energy-efficient
buildings; however, designers require relevant performance data to manage …
buildings; however, designers require relevant performance data to manage …
Energy consumption predictions by genetic programming methods for PCM integrated building in the tropical savanna climate zone
The development of energy-efficient buildings by considering early-stage design parameters
can help reduce buildings' energy consumption. Machine learning tools are getting popular …
can help reduce buildings' energy consumption. Machine learning tools are getting popular …
Multi-objective optimization of setpoint temperature of thermostats in residential buildings
H Bagheri-Esfeh, MR Dehghan - Energy and Buildings, 2022 - Elsevier
Determination of the optimum setpoint temperature of thermostats in various climates is a
problem in air conditioning of residential buildings. In this paper, a new method is developed …
problem in air conditioning of residential buildings. In this paper, a new method is developed …