A Review of Load Forecasting of the Distributed Energy System

Abstract

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.