Big Data Analytics in IoT-Aided Smart Grid

The concept of a smart grid encompasses a network of intelligent devices managing and controlling the generation, transmission, and distribution components of power systems. Such components can be optimized based on environmental and economic constraints, allowing utilities to engage consumers in power generation at different levels. In this realm, bidirectional power exchange becomes a reality. What makes such grids “smart” is the extensive amount of data exchanged between the active components and the enterprise systems managing them. This talk explores the crucial role of data exchange in controlling, monitoring, and coordinating the smart equipment within the grid subsystem. It is known that to achieve optimal performance, big data analytics emerge as a necessity, complemented by the application of artificial intelligence and machine learning techniques. Consequently, this talk also uncovers the diverse applications of big data analytics, the Internet of Things (IoT) technology, machine learning, and artificial intelligence in the smart grid, offering insights into the benefits, challenges, impacts, and problems associated with employing such techniques. Moreover, some intriguing approaches to computing and transmitting data will be unraveled. Co-sponsored by: Power and Energy Systems Research Laboratory Speaker(s): Dr. Shivanjali Khare Virtual: https://events.vtools.ieee.org/m/365574