As technology advances and world population grows, there is greater need for power consumption. From technologies used on a daily basis to the latest and most advanced all require electrical power. Thus, there is a necessity for managing this power distribution in an optimal way. To meet demands for electrical power, a reliable framework to monitor and analyze the grid behavior is required. The purpose of this paper is to present a framework architecture, its implementation, and evaluate its performance over a real-life dataset. This framework utilizes the latest technologies such as the Internet of Things (IoT), big data, fog and cloud computing to decrease network traffic, increase data analysis speed and illustrate real-time data analysis on a web-based dashboard on the current state of the power grid. These features give administrators the ability to control the grid in a crisis situation and clients to consume electric power more efficiently.
