Publications

Peer-reviewed and ongoing research on electricity markets, causal machine learning, forecasting, and infrastructure resilience.

Under Review

Explainable Machine Learning Analysis of Retail Renewable Premiums

Yufan Ji, Noah Dormady, Abdollah Shafieezadeh, others

Under review 2026

A matched-offer and explainable machine learning study of renewable electricity premiums across utilities, time periods, and contract attributes.

Causal Graph-Informed Temporal Convolution for Electricity Price Forecasting

Yufan Ji, Abdollah Shafieezadeh, Noah Dormady

Under review 2026

A causal graph-informed temporal convolutional network for accurate and interpretable retail electricity price forecasting.

Published

Robust Treatment Assignment with Uncertainty-Aware Causal Forests: Joint Optimization of Accuracy and Estimation Uncertainty

Robust Treatment Assignment with Uncertainty-Aware Causal Forests: Joint Optimization of Accuracy and Estimation Uncertainty

Yufan Ji, Abdollah Shafieezadeh

Expert Systems with Applications 2026

An uncertainty-aware causal forest framework that jointly considers predictive accuracy and confidence-interval width to support stable, calibrated, and risk-aware treatment assignment.

DOI
Efficiency and Consumer Welfare Under Retail Electricity Deregulation: Analysis of Ohio's Retail Choice Markets

Efficiency and Consumer Welfare Under Retail Electricity Deregulation: Analysis of Ohio's Retail Choice Markets

Noah Dormady, William Welch, Yufan Ji, Stephanie Pedron, Abdollah Shafieezadeh, Alberto Lamadrid, Matthew Hoyt, Samantha Fox

Journal of Critical Infrastructure Policy 2025

A consumer-centered analysis of daily Ohio retail electricity offers showing that many competitive offers exceeded default utility prices and that welfare-improving choices were inconsistently available.

DOI