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Panel Session 27 Oct 2020

The term smart grid has been around for well over a decade, yet AI and machine learning are now enabling humans to make smarter decisions in managing the power grid. Augmenting humans with digital enhanced cognitive functions such as sight, touch and hearing, all workflows are being re-imagined to increase grid capacity, worker safety and customer experience: How can a machine learning ‘grid model’ help TSO-operators spot the risks and grid operating limits? How can vegetation growth models, satellite images and accurate weather prediction send crews out to the right place and time to cut tree branches before interfering with power lines? And how can visual recognition, augmented reality and speech recognition help field workers do their jobs safely, efficiently and with a higher job satisfaction? These elements come together in what IBM calls "The Cognitive Enterprise", or in this case "The Cognitive Grid Enterprise".

Chairs:
Peter Palensky

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