With so much of our lives now being spent in one way or another interacting with electronic devices, power outages can be a huge pain. It is not just a matter of inconvenience either — more critical applications, like food storage, medical devices, and HVAC systems can also be taken out of service when the power blinks out. Even in the United States, where there is a relatively advanced energy grid, there were 1.33 billion outage hours for consumers in 2020. If those outages could be predicted in advance, it could potentially save the lives of those most at risk. Knowing that the power was likely to turn off, people that rely on medical devices powered by electricity, or the elderly in the midst of a heatwave, could take proactive steps before they get into a dangerous situation.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/who-turned-out-the-lights-edenoff-anticipates-power-outages-with-machine-learning