Short term load forecasting for residential buildings-an extensive literature review

Abstract

Accurate Short Term Load Forecasting is an essential step towards load balancing methods in energy systems. With the recent introduction of Smart Meters for residential buildings, load forecasting and shifting methods can be implemented for individual households. The high variance of the load demand on the household level requires specific forecasting methods. This paper provides an overview of the methods which have been applied and points out what results are comparable. Therefore a structured literature review is carried out. In the process, 375 papers are analyzed and categorized via a concept matrix. Based on this review it is pointed out, which methods achieve good results for which purpose and which publicly available datasets can be used for evaluation.