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Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review
Journal of Building Engineering ( IF 6.4 ) Pub Date : 2022-08-06 , DOI: 10.1016/j.jobe.2022.105028
Zeyu Wang , Lisha Xia , Hongping Yuan , Ravi S. Srinivasan , Xiangnan Song

With the rapid growth in the volume of relevant and available data, feature engineering is emerging as a popular research subject in data-driven building energy prediction owing to its essential role in improving data quality. Many studies have examined the feasibility of applying feature engineering methods to data-driven building energy prediction. However, a systematic review of this area's research status, characteristics, and limitations is lacking. Therefore, this study analyzes the current status of research and directions of future work in feature engineering for building energy prediction. In this article, we first discuss the concept of feature engineering and its main methods, including the construction, selection, and extraction of features. We, then, summarize the status and characteristics of feature engineering research in the building energy domain using a comprehensive study of 172 relevant articles. We also discuss critical issues in feature engineering in data-driven building energy prediction, including why feature engineering has recently received increasing attention, whether it is useful in this domain, and effective ways to apply it. Finally, we identify promising research directions in the area based on its current state and limitations. The results here provide researchers and the industry with a better understanding of the state of the art and future research trends in feature engineering for data-driven building energy prediction.



中文翻译:

数据驱动建筑能耗预测的特征工程原理、研究现状与展望:综合评述

随着相关和可用数据量的快速增长,特征工程因其在提高数据质量方面的重要作用而成为数据驱动的建筑能源预测的热门研究课题。许多研究已经检验了将特征工程方法应用于数据驱动的建筑能源预测的可行性。然而,缺乏对该领域研究现状、特点和局限性的系统评价。因此,本研究分析了建筑能耗预测特征工程的研究现状和未来工作方向。在本文中,我们首先讨论特征工程的概念及其主要方法,包括特征的构建、选择和提取。然后我们,通过对172篇相关文章的综合研究,总结了建筑能源领域特征工程研究的现状和特点。我们还讨论了特征工程在数据驱动的建筑能源预测中的关键问题,包括为什么特征工程最近受到越来越多的关注,它在这个领域是否有用,以及应用它的有效方法。最后,我们根据该领域的现状和局限性确定了该领域有前景的研究方向。此处的结果使研究人员和行业能够更好地了解数据驱动的建筑能源预测特征工程的最新技术和未来研究趋势。我们还讨论了特征工程在数据驱动的建筑能源预测中的关键问题,包括为什么特征工程最近受到越来越多的关注,它在这个领域是否有用,以及应用它的有效方法。最后,我们根据该领域的现状和局限性确定了该领域有前景的研究方向。此处的结果使研究人员和行业能够更好地了解数据驱动的建筑能源预测特征工程的最新技术和未来研究趋势。我们还讨论了特征工程在数据驱动的建筑能源预测中的关键问题,包括为什么特征工程最近受到越来越多的关注,它在这个领域是否有用,以及应用它的有效方法。最后,我们根据该领域的现状和局限性确定了该领域有前景的研究方向。此处的结果使研究人员和行业能够更好地了解数据驱动的建筑能源预测特征工程的最新技术和未来研究趋势。

更新日期:2022-08-09
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