Conclusion and discussion
Artificial Intelligence for Smart Energy Management within Energy Transition

This article treated the problem of Smart Energy Management (SME) within the context of energy transition (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management, smart meters). It focused on the use of Artificial Intelligence techniques to address the challenges related to this highly topical issue. The paper shed light on the major differences between traditional electrical grids and the future smart electrical grids within the context of the Energy Transition (ET).

Further, the paper detailed the problem of load monitoring in residential, commercial and industrial sectors in order to improve the energy efficiency and saving in presence of distributed renewable energy sources. The approaches of the state of the art for load monitoring were classified into two main categories:...