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20232025
most citedToward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach

6 citations · 8 across the 7 of their papers we have counts for

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7 papers · 1 filter

eess.SY2025

Operator learning for energy-efficient building ventilation control with computational fluid dynamics simulation of a real-world classroom

Yuexin Bian, Oliver Schmidt, Yuanyuan Shi

Energy-efficient ventilation control plays a vital role in reducing building energy consumption while ensuring occupant health and comfort. While Computational Fluid Dynamics (CFD)…

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

PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations

Luke Bhan, Yuexin Bian, Miroslav Krstic +1

Over the last decade, data-driven methods have surged in popularity, emerging as valuable tools for control theory. As such, neural network approximations of control feedback laws,…

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.SY2024★ 1 cited

Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach

Yuexin Bian, Xiaohan Fu, Rajesh K. Gupta +1

In this paper, we introduce a novel framework for building learning and control, focusing on ventilation and thermal management to enhance energy efficiency. We validate the perfor…

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…