Smart Grids are electric grids which intelligently respond to the behavior and actions of producers and consumers of electric power. Weather information is critical to several aspects of Smart Grids. For instance, energy consumption may be high on a hot summer afternoon, but drop off dramatically if a thunderstorm outflow cools the region. Knowledge of the current state of the atmosphere and accurate predictions on the time scales of minutes, hours, and days can enable energy producers to optimally schedule their generation resources and crews. We present results from one project in which high-resolution analyses and forecasts were utilized in a Smart Grid. Data included gridded temperature, wind, lightning threat, precipitation, and insolation. These data, along with real-time lightning and radar data, watches, and warnings, were provided on interactive displays for system operators.