How Machine Learning Improves Energy Consumption - AI Summary

At the intersection of machine learning and energy consumption stands an incredibly powerful force with the potential to transform the way we globally produce and consume energy. So powerful in fact, that the concept of merging machine learning and renewable resources has been named the "energy internet" by economic theorist and author Jeremy Rifkin or "digital efficiency" by Intel and GE . Going green with machine learning solutions can drastically improve the way we consume energy, in terms of lower operational costs, more efficient production, better use of natural resources and lower environmental impacts. Before energy reaches the grid, machine learning has the ability to revolutionize the way it is collected. GE, other energy and heavy industry leaders, and machine learning research groups have been working on addressing these challenges, yet implementing changes across highly centralized networks is no small task.