Vignesh joined E3 in 2019 and primarily works on resource adequacy and long-term resource planning projects. He has employed RESOLVE and RECAP, E3’s capacity expansion and loss-of-load probability models, respectively, for organizations working towards cost-effective decarbonization without compromising reliability. He brings both depth and breadth built by addressing similar questions for a varied range of clients in different parts of the US. He has contributed to long-term resource planning studies conducted for state agencies like the New York State Energy Research and Development Authority and for load serving entities and independent power providers, like the Omaha Public Power District and the Calpine Corporation, respectively. At E3, Vignesh has built expertise in assessing the capacity value of variable and energy limited resources. This is demonstrated in E3’s study assessing the ELCC of demand response in CA on behalf of the California Independent System Operator, for example.

Vignesh came to E3 after completing his master’s degree in Energy Resources Engineering from Stanford University. His research focused on short-term solar PV power forecasting. He developed skills related to optimization and machine learning in that process, which he continues to employ at E3. He contributed to developing E3’s operating reserve prediction model, RESERVE, an effort partly funded by ARPA-E.

Working on energy and climate change mitigation is core to Vignesh’s sense of purpose. He is motivated by the knowledge that breakthroughs can touch people around the world. When he is not geeking out on the next hot energy technology or policy, he enjoys hiking, cycling, and singing.

Education: MS, Energy Resources Engineering, Stanford University; BE, Chemical Engineering, University of Mumbai