Ep78 How Solar Forecasting Reduces Risk for Investors with Harsh Goenka, Solargis

The Asia Climate Finance Podcast

Chapters
0:00
"Coming Up"
1:25
Why Solar Data Matters
3:28
Inside Solargis’ Work
5:31
Accuracy and Investor Risk
8:59
Forecasting to Replace Coal
17:38
Grid Variability Challenges
22:35
Climate Risk and Extremes
28:56
AI and Solar Forecasting
The Asia Climate Finance Podcast
Ep78 How Solar Forecasting Reduces Risk for Investors with Harsh Goenka, Solargis
Feb 02, 2026 Episode 78
Joseph Jacobelli

Comments/ideas: asiaclimatefinpod@outlook.com

Unlock the secrets of solar bankability in this episode with Harsh Goenka from Solargis, a leading solar data and software provider. We explore how high-quality satellite data and AI-driven forecasting reduce investment risk and manage weather variability. Discover how precise resource assessment helps grid operators transition from coal to reliable, base-load renewable energy by optimising battery storage. Learn why accurate solar data is the essential "fuel" for scaling climate finance and navigating extreme weather risks like hailstorms in emerging markets.

ABOUT HARSH: Harsh Goenka is the Regional Sales Director for Europe and APAC at Solargis. An engineer by training, Harsh brings over a decade of expertise in the renewable energy sector, specialising in bridging the gap between technical solar engineering and financial risk assessment. Prior to his current leadership role, he was instrumental in mentoring commercial teams and forging strategic partnerships with major institutional investors and IPPs globally. He remains committed to advancing data-driven decision-making to accelerate the global transition to clean energy.


HOST, PRODUCTION, ARTWORK: Joseph Jacobelli | MUSIC: Ep76 onward excerpts from Vivaldi’s La Follia, played by Luca Jacobelli.
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