Multi-Objective Plum Tree Algorithm and Machine Learning for Heating and Cooling Load Prediction
Adam Slowik,
Dorin Moldovan
Abstract:The prediction of heating and cooling loads using machine learning algorithms has been considered frequently in the research literature. However, many of the studies considered the default values of the hyperparameters. This manuscript addresses both the selection of the best regressor and the tuning of the hyperparameter values using a novel nature-inspired algorithm, namely, the Multi-Objective Plum Tree Algorithm. The two objectives that were optimized were the averages of the heating and cooling prediction… Show more
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