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Juan Yu

5 papers hereh-index 333.4k citations159 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • eess.SY3
  • eess.SP2
same name
  • Juan Yu — 2 papers, h 14
  • Juan Yu — 2 papers, h 6
  • Juan Yu — 2 papers, h 1
  • Juan Yu — 2 papers, h 3
  • Juan Yu — 1 paper, h 2
  • Juan Yu — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedData-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach

9 citations · 21 across the 5 of their papers we have counts for

collaborators
Showing eess.SYShow all

3 papers · 1 filter

eess.SY2020★ 2 cited

Incorporating Gas Pipeline Leakage Failure Modes in Risk Evaluation of Electricity-Gas Integrated Energy Systems

Yi Tang, Yuan Zhao, Wenyuan Li +2

In the existing literatures for the risk evaluation of electricity-gas integrated energy system (EGIES), the impacts of gas leakage in pipelines are ignored. This paper presents a…

eess.SY2020

Data-Driven Assisted Chance-Constrained Energy and Reserve Scheduling with Wind Curtailment

Xingyu Lei, Zhifang Yang, Junbo Zhao +1

Chance-constrained optimization (CCO) has been widely used for uncertainty management in power system operation. With the prevalence of wind energy, it becomes possible to consider…

eess.SY2020★ 9 cited

Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach

Xingyu Lei, Zhifang Yang, Juan Yu +3

This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework. SELM has a fast training speed and does not…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.