[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective
Economic development and the comfort-loving nature of human beings in recent years have
resulted in increased energy demand. Since energy resources are scarce and should be …
resulted in increased energy demand. Since energy resources are scarce and should be …
Modeling techniques used in building HVAC control systems: A review
The appropriate application of advanced control strategies in Heating, Ventilation, and Air-
conditioning (HVAC) systems is key to improving the energy efficiency of buildings …
conditioning (HVAC) systems is key to improving the energy efficiency of buildings …
A review of computational optimisation methods applied to sustainable building design
R Evins - Renewable and sustainable energy reviews, 2013 - Elsevier
This paper presents a comprehensive review of all significant research applying
computational optimisation to sustainable building design problems. A summary of common …
computational optimisation to sustainable building design problems. A summary of common …
Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design
This paper summarizes a study undertaken to reveal potential challenges and opportunities
for integrating optimization tools in net zero energy buildings (NZEB) design. The paper …
for integrating optimization tools in net zero energy buildings (NZEB) design. The paper …
Transforming cooling optimization for green data center via deep reinforcement learning
Data center (DC) plays an important role to support services, such as e-commerce and cloud
computing. The resulting energy consumption from this growing market has drawn …
computing. The resulting energy consumption from this growing market has drawn …
Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network
L Magnier, F Haghighat - Building and Environment, 2010 - Elsevier
Building optimization involving multiple objectives is generally an extremely time-consuming
process. The GAINN approach presented in this study first uses a simulation-based Artificial …
process. The GAINN approach presented in this study first uses a simulation-based Artificial …
Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological …
RC Deo, M Şahin - Atmospheric research, 2015 - Elsevier
The forecasting of drought based on cumulative influence of rainfall, temperature and
evaporation is greatly beneficial for mitigating adverse consequences on water-sensitive …
evaporation is greatly beneficial for mitigating adverse consequences on water-sensitive …
Genetic-algorithm based approach to optimize building envelope design for residential buildings
D Tuhus-Dubrow, M Krarti - Building and environment, 2010 - Elsevier
A simulation–optimization tool is developed and applied to optimize building shape and
building envelope features. The simulation–optimization tool couples a genetic algorithm to …
building envelope features. The simulation–optimization tool couples a genetic algorithm to …
Computational intelligence techniques for HVAC systems: A review
Buildings are responsible for 40% of global energy use and contribute towards 30% of the
total CO2 emissions. The drive to reduce energy use and associated greenhouse gas …
total CO2 emissions. The drive to reduce energy use and associated greenhouse gas …
Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review
In this paper, an attempt has been made to review the applications of artificial neural
networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat …
networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat …