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There is also a session of this webinar available for the Asia-Pacific time zones. Register for the APAC session here.

Nodal power price basis risk (LMP basis risk) is a critical concern for power developers, especially wind; Power Purchase Agreements (PPAs) are often structured to push this risk on the generator. In the early stages of evaluation for wind and other power generation projects, developers often have the need to evaluate the merits of dozens of prospective sites or projects, without the time or budget to procure physics-based, modeled LMP basis forecasts.

This webinar explores the pitfalls of various (commonly used) heuristic methods for assessing basis risk and showcases FastLMP, a new IHS Markit tool that uses advanced analytics and machine learning to deliver accurate LMP basis forecasts while capturing the timing relationships between nodal basis formation and power production, examining wind project development as a use case. These relationships are key to understanding LMP basis risk.

We will also discuss the processing of historical LMP data, including identification of state shifts in LMP basis behavior and handling of outage events, both of which can significantly distort heuristic assessments of basis risk.


Duncan Anderson
Senior Research Analyst II: North American Power

Barclay Gibbs
Senior Director Power & Renewables

This presentation will conclude with a live Q&A session.

This webinar will be available on-demand after the live event.

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