Machine learning driven smart electric power systems

The rapid growth of the population and economy leads to an increase in demand for electricity. Existing energy systems are intensively switching active, flexible, smart analogs grid, which creates big problems many areas, such as integration renewable sources, cyberspace security, management, planning, decision-making about use system. Today, conditions digitalization, automation, intellectualization, traditional is changing, new technologies emerging, example, «machine learning». This article discusses possibilities machine learning electric power systems. describes interrelation interaction elements network, Internet Things, learning. presents methods their differences solving technical intelligent network.