How Artificial Intelligence Makes The Smart Grid Possible [Infographic]

How Artificial Intelligence Makes The Smart Grid Possible
Engineers have known for some time that the current electricity grid isn’t up to the task. As technology continues to develop in both the digital and energy sectors, we need a network that is more adaptive and responsive to current needs. The problem, today, however, is that the grid doesn’t provide the kind of support it needs to individual consumers wanting to supply their own solar energy. Neither does it do much to integrate multiple sources of electricity or help utilities recover from blackouts.

There is, therefore, a desperate need for a new kind of grid that is responsive, adaptive, and can see patterns in energy consumption and production. At the moment, teams of people manage the majority of the network who watch the data in real-time and make decisions about how much current to supply to the grid, dependent on current need. Energy providers must continually monitor multiple data flows to make the correct decision for how much power to provide.

In the past, this was relatively simple. The power company observed how much energy a few large providers were pumping out into the grid and adjusted their rate of electricity generation accordingly. The rise of people making electricity from solar and wind, however, adds complexity to the mix, as does integrating various sources in a way that will take advantage of the strengths and weaknesses of each. That’s where AI comes in: it takes over the role of human management, automatically adjusting the supply reaching the grid for maximum efficiency, as the following infographic shows.


Infographic by University of California - Riverside

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