Elnaz Azizi

As an associate consultant in the Energy Networks team, my goal is to integrate machine learning technologies with energy systems applications. By developing customized solutions that incorporate domain knowledge, I aim to empower our clients to leverage the latest innovations and strategies, facilitating an effective transition to a net-zero future. My engagement and interaction with domain experts led me to appreciate the need for data-driven algorithms that reach beyond traditional energy system optimisation and encompass economic and social factors.

I hold a PhD in Electrical Engineering. Before joining LCP Delta, I was an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow at the University of Oxford, where I focused on monitoring and forecasting the impact of integrating zero-carbon technologies in power systems. Additionally, I contributed to Future System Planning within the Innovate UK demonstrator project LEO (Local Energy Oxfordshire). This project aimed to create functional local energy communities that support the distribution grid in achieving the net-zero goal.

Outside of work, I enjoy traveling and reading novels!