期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：15
页码：3011-3029
出版社：Journal of Theoretical and Applied
摘要：Microgrids (MGs) constitute the new generation of electrical networks; they are more effective, reliable, scalable and allow simultaneous exchange of energy and data in the network. Prediction is one of the tools that contribute to the development and improvement of MGs because it is used for decision making since, promotes control systems, energy management and so on. In recent years researchers have produced many prediction studies in MGs using different artificial intelligence prediction methods and techniques they deem appropriate to handle with the prediction problems they are working on. We are interested in this paper to analyse those studies as a Systematic Literature Review (SLR) in order to draw the state of the art of existing prediction solutions in MGs, keep up to date with latest used techniques and evaluate if those solutions are in line with the development of Information and Communication Technologies (ICT) especially big data technology.
