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Forecasting and Planning for Grid Evolution with LoadSEER: A Spatial Approach to Electric Expansion and Risk
As distribution systems grow more complex due to electrification, distributed energy resources (DERs), and climate-driven volatility, utilities need advanced tools to plan effectively at the local level. LoadSEER — Spatial Electric Expansion and Risk — is a powerful spatial analytics platform developed by Integral Analytics to support long-term electric system planning under uncertainty.
This presentation will explore how LoadSEER enables utilities to model localized growth, assess risk, and test investment strategies under a wide range of future scenarios. With capabilities including circuit-level forecasting, geospatial scenario analysis, and integrated risk scoring, LoadSEER helps planners prioritize infrastructure upgrades, integrate DERs, and align with regulatory and decarbonization goals.
The session will include use cases and lessons learned from utilities deploying LoadSEER to improve capital efficiency, system resilience, and planning transparency in rapidly changing environments.
Date and Time
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- Starts 20 June 2025 07:00 AM UTC
- Ends 15 July 2025 07:00 AM UTC
- No Admission Charge
Speakers
Scott Smith of Integral Analytics
Biography:
Scott Smith is a Principal at Integral Analytics, where he leads utility forecasting and planning engagements across the U.S. He brings over 15 years of experience in data-driven distribution planning, including work on load forecasting, DER scenario modeling, and probabilistic investment analysis. Scott has worked with IOUs, public power agencies, and municipal utilities to modernize their forecasting frameworks, align cross-departmental assumptions, and support confident decision-making under uncertainty. He specializes in translating complex load dynamics—including emerging AI-related demand—into practical strategies for planners, engineers, and executives alike.