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05 April 2018

Moving the world to renewable energy is hard: how AI can smooth the process

In the previous article about Artificial Intelligence in the energy sector we’ve seen some of the scenarios in which AI can be a great asset. Today we’ll zoom in one of the toughest challenges that not only the energy sector, but the whole world is facing and how AI can help.

Several environmental, economical, and political factors are making a compelling case to reduce fossil fuels consumption. As described in the IPCC (Intergovernamental Panel on Climate Change) 2014 report [1], the environmental situation we’re in now is worrying, and “extremely likely” to be caused by human intervention:

“Anthropogenic greenhouse gas emissions have increased since the pre-industrial era, driven largely by economic and population growth, and are now higher than ever. This has led to atmospheric concentrations of carbon dioxide, methane and nitrous oxide that are unprecedented in at least the last 800,000 years. Their effects, together with those of other anthropogenic drivers, have been detected throughout the climate system and are extremely likely to have been the dominant cause of the observed warming since the mid-20th century.”

The shift from fossil fuels to renewable resources is absolutely necessary

Increased renewable energy and increased challenges

Unpredictability on the production side

One mistake can break the equation

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