Sean Kelly, CEO of Amperon, joins this episode of the Energy Tech Startups Podcast to share how his company is transforming energy forecasting through AI-driven solutions tailored to every electron on the grid. He delves into the inception of Amperon and the unique challenges they face in predicting future energy demands. Sean discusses how traditional forecasting methods struggle to keep up with the rapid pace of the energy sector and explains Amperon's adaptive AI models, which are setting new standards in reliability and efficiency. Listeners gain insights into energy market dynamics, Amperon’s customer-centric approach, and Sean's vision for the future as AI reshapes the industry.

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Click here to view the episode transcript.

00:00 - Intro
00:27 - Amperon's Problem Solving
02:32 - Data Acquisition at Amperon
04:35 - Amperon's Customer Base
09:11 - Customer Data Utilization
11:59 - Importance of Energy Forecasting
17:55 - Network Effects in Energy Systems
19:25 - Model Prediction Explanation
20:40 - Automating Data Adjustments
21:40 - Transition from Google Cloud to Azure
28:06 - Sean's Startup Journey
31:44 - ETL and Winter Storm URI Crisis
37:35 - Gaining Customer Insight
40:05 - Fundraising Experiences
48:00 - Learning from Failures
51:30 - Houston's Innovation Landscape
55:25 - Climate Impact Initiatives
58:05 - Supporting Amperon

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