Please join E3 Consulting for a 30-minute Webinar exploring a more rigorous approach to long-term solar resource selection for PV projects. Long-term solar resource estimates are critical for PV design, financing, and operations, yet satellite, ground-tuned, modeled, and hybrid datasets often disagree and carry different uncertainties. Traditional selection methods often rely on simple averages or vendor preferences, overlooking uncertainty and correlations across datasets. This can lead to biased resource estimates and mispriced project risk.

But it doesn’t have to be this way. During this webinar, E3 Consulting Executive Director of Solar, Rounak Kharait, will share how he has applied maximum likelihood estimation (MLE) to identify a more representative plane-of-array (POA) solar resource, thereby improving confidence in long-term energy projections.

Hosted by E3’s Daniel Tarico, Director of Renewables, the session will feature insights from:

• Rounak Kharait, Executive Director of Solar, E3 Consulting
• Simone Marletti, Lead Development Engineer, Copenhagen Infrastructure Partners (CIP)

CIP is a global leader in energy infrastructure, managing a diversified portfolio of large-scale renewable and low-carbon projects across multiple continents. Simone’s perspective as an investor will help ground the discussion in real-world project decision-making.

The discussion will be followed by live Q&A.

We hope you can join us! Register here:

Thu, Apr 30, 2026 10:00 AM – 10:30 AM (UTC-08:00) Pacific Time (US & Canada)