Training and Test Dataset for Early Stage Energy Prediction Model using Advanced Machine Learning Approaches

The dataset is related to the article titled "Convolutional Neural Network to Learn Building Shape Representations for Early Stage Energy Prediction". It contains simulation data from EnergyPlus that is processed in a structure to train machine learning model using approaches of artificial neural network (ANN), component-based machine learning (CBML) model, and convolutional neural network (CNN) model. The dataset contains raw data, programs to reproduce the data, trained machine learning (ML) models, and their predictions. It also contains an auto encoder model used to reduce dimensionality of raw three-dimensional input to the CNN model.本数据集关联题为《面向早期能耗预测的建筑形状表征学习卷积神经网络》的学术论文，其收录经结构化处理的EnergyPlus能耗模拟数据，用于借助人工神经网络（Artificial Neural Network, ANN）、基于组件的机器学习（Component-Based Machine Learning, CBML）模型与卷积神经网络（Convolutional Neural Network, CNN）模型等方法训练机器学习模型。本数据集涵盖原始数据、可复现该数据的程序、已训练完成的机器学习（Machine Learning, ML）模型及其预测结果。此外，数据集还包含用于对输入至CNN模型的原始三维输入数据进行维度缩减的自编码器（Auto Encoder）模型。