Abstract: A method of Demand Side Management is intended to manage the increasingly chaotic nature of the power grid, and is designed to adapt to the future impact to the grid patterns caused by the ongoing introduction of renewable power generation sources, battery charging associated with the increasing number of electric vehicles, and future unforeseen developments, by utilizing Statistical Process Control (SPC) techniques. SPC monitors the quality of the grid by treating the grid as if the grid was a process with varying levels of quality, to which the method can detect, anticipate and respond by making immediate and adaptive future scheduling decisions for the control of device loads, or generation, for the benefit of consumers as well as power companies.

Abstract: The present invention is a method of “Demand Side Management” (DSM) that is intended to manage the increasingly chaotic nature of the power grid, and is designed to adapt to the future impact to the grid patterns caused by the ongoing introduction of renewable power generation sources, battery charging associated with the increasing number of electric vehicles, and future unforeseen developments, by utilizing “Statistical Process Control” (SPC) techniques. SPC is typically a method for controlling manufacturing process variation in a factory, analogously the present invention adapts SPC methods to help monitor the quality of the grid by treating said grid as if said grid were a process with varying levels of quality, to which the present invention can detect, anticipate and respond by making immediate and adaptive future scheduling decisions for the control of device loads, or generation, for the benefit of consumers as well as power companies.