most citedImage-Based Abnormal Data Detection and Cleaning Algorithm via Wind Power Curve

90 citations · 159 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2024

Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication

Linwei Sang, Yinliang Xu, Hongbin Sun +2

Regulating the proper carbon-aware intervention policy is one of the keys to emission alleviation in the distribution network, whose basis lies in effectively attributing the emiss…

eess.SY2023★ 40 cited

Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network

Jichen Zhang, Linwei Sang, Yinliang Xu +1

This paper proposes a multiagent based bi-level operation framework for the low-carbon demand management in distribution networks considering the carbon emission allowance on the d…

eess.SY2023★ 90 cited

Image-Based Abnormal Data Detection and Cleaning Algorithm via Wind Power Curve

Huan Long, Linwei Sang, Zaijun Wu +1

This paper proposes an image-based algorithm for detecting and cleaning the wind turbine abnormal data based on wind power curve (WPC) images. The abnormal data are categorized int…

eess.SY2023

Safety-aware Semi-end-to-end Coordinated Decision Model for Voltage Regulation in Active Distribution Network

Linwei Sang, Yinliang Xu, Huan Long +1

Prediction plays a vital role in the active distribution network voltage regulation under the high penetration of photovoltaics. Current prediction models aim at minimizing individ…

eess.SY2023

Encoding Carbon Emission Flow in Energy Management: A Compact Constraint Learning Approach

Linwei Sang, Yinliang Xu, Hongbin Sun

Decarbonizing the energy supply is essential and urgent to mitigate the increasingly visible climate change. Its basis is identifying emission responsibility during power allocatio…

cs.LG2023

Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach

Linwei Sang, Yinliang Xu, Huan Long +2

Electricity price prediction plays a vital role in energy storage system (ESS) management. Current prediction models focus on reducing prediction errors but overlook their impact o…

eess.SY2023★ 29 cited

Conservative Sparse Neural Network Embedded Frequency-Constrained Unit Commitment With Distributed Energy Resources

Linwei Sang, Yinliang Xu, Zhongkai Yi +3

The increasing penetration of distributed energy resources (DERs) will decrease the rotational inertia of the power system and further degrade the system frequency stability. To ad…