期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：237
期号：4
页码：042019
DOI：10.1088/1755-1315/237/4/042019
出版社：IOP Publishing
摘要：With the development of global intelligence industry and new energy systems, the role of load forecasting is increasingly prominent. This article reviews the research progress and applications of load forecasting technology. How to improve the accuracy and speed of load forecasting is the current research hotspot, and this paper comprehensively summarizes the influencing factors for the performance of load forecasting such as various input parameters and load forecasting models. Besides, this paper reviews evaluation indicators of load forecasting, three different sizes' buildings as typical cases. Finally, three research trends in this field are summed up: deep learning, predictive measurement, and combination with occupant behavior prediction.
