Role of Data Analytics in Smart Grids

This event has been moved from 17 to 24 November.

Dr Anish Jindal, DEI Fellow & Department of Computing Sciences

The future of the power industry heavily relies on the use of modern electric grids, i.e., smart grids, integrated with information and communication technology. The advantage of using smart grids is that they provide a better quality of service in terms of resource and asset management, detecting faults in the system, efficient energy consumption by reducing the demand and supply gap, and peak load reduction, to name a few. One of the important factors for quality of service in smart grid is the use of data analytics. It has already been applied extensively in the power sector to provide various services such as-demand forecasting, revenue protection, and data visualization. However, there are still many areas which can be benefited by using data analytical techniques. This talk will focus on discussing the overall process and impact of data analytics in smart grids along with a few case studies.

Anish Jindal is an Assistant Professor in Computer Science at Durham University. His PhD was focused on demand side management in smart grids using data analytics and present research focuses on leveraging data science for carbon-intelligent, energy-efficient programmable networks as well as smart energy management systems for smart cities.

To book a place at this event please visit our EventBrite page.