Data increment and enrichment to train component-based machine learning model for early stage energy prediction

This dataset is used for training of component based machine learning (CBML) models described in the article. The article examines the effect of increasing and enriching training data on machine learning model's ability to generalise. Please read the full article for the relevant details of ML models. There are seven training dataset BaseCase, E-1, E-2, E-3, I-1, I-2, and I-3 and one test dataset. The trained machine learning (ML) components are saved under 'Models' folder in each dataset.

本数据集旨在用于训练文中所述的基于组件的机器学习（CBML）模型。该文探讨了增加和丰富训练数据对机器学习模型泛化能力的影响。欲了解机器学习模型的详细信息，请参阅全文。数据集包含七个训练数据集：BaseCase、E-1、E-2、E-3、I-1、I-2 和 I-3，以及一个测试数据集。训练的机器学习（ML）组件存储在每个数据集的 'Models' 文件夹中。