activity
20222026
most citedToward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach

6 citations · 10 across the 7 of their papers we have counts for

collaborators

9 papers

eess.SY2026

Quantifying the Availability of Synchronized and Non-Synchronized Generating Units When Needed

Yufan Zhang, Feng Zhao

Do synchronized units have higher probabilities of being available when needed than non-synchronized units? Power system operation implicitly relies on the qualitative belief that…

math.OC2026

Stochastic Optimization for Resource Adequacy in Capacity Markets with Storage and Renewables

Baptiste Rabecq, Andy Sun, Feng Zhao +3

The integration of storage and renewable resources fundamentally alters resource-adequacy analysis. Because storage couples decisions across time, it invalidates the traditional re…

eess.SY2024

Efficient Unit Commitment Constraint Screening under Uncertainty

Xuan He, Honglin Wen, Yufan Zhang +2

Day-ahead unit commitment (UC) is a fundamental task for power system operators, where generator statuses and power dispatch are determined based on the forecasted nodal net demand…

eess.SY2024

Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants

Yufan Zhang, Jiajun Han, Yuanyuan Shi

This paper develops a risk-aware net demand forecasting product for virtual power plants, which helps reduce the risk of high operation costs. At the training phase, a bilevel prog…

eess.SY2024

Improving Sequential Market Coordination via Value-oriented Renewable Energy Forecasting

Yufan Zhang, Honglin Wen, Yuexin Bian +1

Large penetration of renewable energy sources (RESs) brings huge uncertainty into the electricity markets. The current deterministic clearing approach in the day-ahead (DA) market,…

eess.SY2023★ 1 cited

Deriving Loss Function for Value-oriented Renewable Energy Forecasting

Yufan Zhang, Honglin Wen, Yuexin Bian +1

Renewable energy forecasting is the workhorse for efficient energy dispatch. However, forecasts with small mean squared errors (MSE) may not necessarily lead to low operation costs…

eess.SY2023

Fast Constraint Screening for Multi-Interval Unit Commitment

Xuan He, Jiayu Tian, Yufan Zhang +2

Power systems Unit Commitment (UC) problem determines the generator commitment schedule and dispatch decisions for power networks based on forecasted electricity demand. However, w…

eess.SY2023★ 6 cited

Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach

Yufan Zhang, Mengshuo Jia, Honglin Wen +2

Energy forecasting is an essential task in power system operations. Operators usually issue forecasts and leverage them to schedule energy dispatch ahead of time. However, forecast…

math.OC2022★ 3 cited

Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model

Xuan He, Honglin Wen, Yufan Zhang +1

Unit commitment (UC) are essential tools to transmission system operators for finding the most economical and feasible generation schedules and dispatch signals. Constraint screeni…