The current condition of the US electric grid is inadequate and requires updates to be able to handle a changing landscape of energy generation and use. Efforts to shift to a smart grid have led to the collection of immense amounts of data. Currently, this data is not being used as effectively as it could be. Grid management is based on powerful computer models that use past behavior to predict current conditions on the grid. The ultimate goal of the smart grid is to have real-time data collection and analytic capabilities. In this e-book, author Alexandra Nilles concludes that industry-developed standards, combined with public guidance and funding for sensitive issues such as privacy and cybersecurity, are the best tools to use as the smart grid develops.