Integrated Multiscale Data Analytics and Machine Learning for the Grid

Advances in and reduced costs for computing, memory, and communications technologies have resulted in an abundance of raw data from new sensing and measurement devices. However, there is a dearth of analytical tools that can process the data in motion to draw information that is meaningful and actionable. For example, because they consume so much energy, buildings are an integral part of the electric grid. But despite the growth of new smart-building systems, methods currently do not exist for leveraging the data they generate for quantifying and predicting beneficial grid services.