  The advancement of Artificial Intelligence (AI) has improved the automation
of energy managements. In smart energy management or in a smart grid framework,
all the devices and the distributed resources and renewable resources are
embedded which leads to reduce cost. A smart energy management system,
Transactive management (TM) is a concept to improve the efficiency and
reliability of the power system. The aim of this article is to look for the
current development of TM methods based on AI and Machine Learning (ML)
technology. In AI paradigm, MultiAgent System (MAS) based method is an active
research area and are still in evolution. Hence this article describes how MAS
based method applied in TM. This paper also finds that MAS based method faces
major difficulty to design or set up goal to various agents and describes how
ML technique can contribute to that solution. A brief comparison analysis
between MAS and ML techniques are also presented. At the end, this article
summarizes the most relevant open challenges and issues on the AI based methods
for transactive energy management.
