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Betti Bolló

As seen in: MDPI
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Articles

Prediction and Optimization of Thermal Loads in Buildings with Different Shapes by Neural Networks and Recent Finite Difference Methods

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By Ali Habeeb Askar, Endre Kovács, Betti Bolló, Ali Habeeb
| MDPI
1. Introduction In view of increased energy consumption and emissions of greenhouse gases, decision-makers all over the globe should be aware of the need for sustainable development and energy efficiency. According to the International Energy Agency, the construction industry is responsible for more than a third of the worldwide final energy consumption and is responsible for more than 40% of the world’s direct and indirect CO2 emissions (IEA) [1].
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Comparison of the Performance of New and Traditional Numerical Methods for Long-Term Simulations of Heat Transfer in Walls with Thermal Bridges

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By Endre Kovács, Issa Omle, Ali Habeeb Askar, Betti Bolló
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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