1. An electrical grid monitoring, predictive monitoring, and control system comprising: a controller in electrical communication with a multiplicity of electrical devices in an electric grid, wherein said controller receives control state data from each electrical device of said multiplicity of electrical devices indicating a current state of each said electrical device; a multi-dimensional, multi-layer cellular computational network (CCN) disposed within said controller comprising: an information layer; a knowledge layer; a decision-making layer; and an action layer; wherein each said layer of said CCN represents one of a multiplicity of control state variables in the electric grid; and wherein each said layer is further comprised of a multiplicity of cells each containing computational algorithms capable of cognitive learning to create a control state model by receiving cellular control state information from one or more cells; and wherein said controller analyzes said multiplicity of control state data then determines a current control state, an interim predicted control state, and a final predicted control state for one or more of said multiplicity of electrical devices; wherein said interim predicted control state is derived from predicted measurements associated with said multiplicity of control state variables in the electric grid; wherein said final predicted control state is derived from a combination of said current control state and one or more interim predicted control states; and wherein said controller automatically changes said current state of said one or more of said multiplicity of electrical devices based on the final predicted control state.