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Author

Yunus Biçen

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Preprint Aug 2026

Parameters Overshadowed by Price Lags: Load, Climate, and Calendar Effects in ERCOT Day-Ahead Price Formation

This paper proposes a regime-sensitive, explainable artificial intelligence (XAI) framework to unmask the hidden roles of load, climate, and calendar variables in the ERCOT Day-Ahead Market (2014-2024), and introduces a Suppression Ratio to quantify how price lags overshadow physical parameters.

Yunus Biçen, Eman M. Hammad · 0 citations

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