At Forum Acusticum Euronoise 2025 an IEA HPT Annex 63 Task 3 contribution will present a machine learning-based approach to predicting annoyance caused by ASHP noise emissions to address the complexity of human perception of noise by integrating psychoacoustic metrics, emotional responses, and demographic factors. Seven predictive models were evaluated, including tree-based methods (Gradient Boosting and Random Forest) and traditional regression approaches (Support Vector Machine, Lasso, Linear Regression, Ridge, and ElasticNet).
