5 citations · 10 across the 3 of their papers we have counts for
3 papers
eess.SY2024★ 5 cited
Decision-Oriented Learning for Future Power System Decision-Making under Uncertainty
Ran Li, Haipeng Zhang, Mingyang Sun +4
Better forecasts may not lead to better decision-making. To address this challenge, decision-oriented learning (DOL) has been proposed as a new branch of machine learning that repl…
q-fin.RM2023★ 1 cited
Probabilistic Forecast-based Portfolio Optimization of Electricity Demand at Low Aggregation Levels
Jungyeon Park, Estêvão Alvarenga, Jooyoung Jeon +4
In the effort to achieve carbon neutrality through a decentralized electricity market, accurate short-term load forecasting at low aggregation levels has become increasingly crucia…
eess.SY2023★ 4 cited
Risk-Aware Objective-Based Forecasting in Inertia Management
Haipeng Zhang, Ran Li, Yan Chen +3
The objective-based forecasting considers the asymmetric and non-linear impacts of forecasting errors on decision objectives, thus improving the effectiveness of its downstream dec…