… As the smart grid involves various actors, such as energy produces, … artificial intelligence
and market liberalization can potentially help to increase the overall social welfare of the grid. …

… Despite the evolution of smarts grids, there are still many challenges to be solved in this …
Machine learning, which is a technique that evolved from artificial intelligence and uses the …

… of artificial intelligence (AI) techniques in the smart grid are … to load forecasting, power
grid stability assessment, faults detection… With the development of smart grids with the high …

… of artificial intelligence (AI) in a highly digitized power grid with high penetration of renewable
energy. The advanced development of … adoption in the power grid and accommodation of …

… Abstract—Along with the development of smart grids, the wide … those that utilize artificial
intelligence techniques to render EVs and the systems that manage collectives of EVs smarter. In …

… two classes: conventional or Artificial Intelligent (AI) strategies [10]… Traditional protection
mechanisms have evolved into new … One of the main concepts in smart grids is the evolution of a …

… smart grids. Demand side management (DSM) plays a crucial role in the concept of smart
grid (SG) by developing diverse and flexible strategies to conserve the stability of the grid. The …

… , reducing carbon emissions as a step towards sustainable development seems to be of
major interest for the driving forces of the smart grid development. In this sense, the use of …

… Currently, in the United States and some other countries, there is tremendous stimulus of
R&D activities in smart grid (SG). The broad objectives of SG can be summarized as follows [1]–…

… With this development, the overall transition of the smart grid improves the ecosystem by
upgradation in terms of it becoming perilous to execute testing; and so, it develops and …