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What is Heuristic Methods for HVAC Energy Analysis about?

The article presents a novel methodology for predicting the cooling load of residential HVAC systems using a multi-layer perceptron neural network combined with various metaheuristic algorithms, particularly the electrostatic discharge algorithm (ESDA). The study demonstrates that the ESDA outperforms other algorithms in accurately predicting thermal loads based on building geometrical characteristics, contributing to energy-efficient building design. This research bridges the gap between advanced computati

Author

Erdem Yiğit

Language

EN