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Le Xie

14 papers hereh-index 228 citations13 works total

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

author position
  • first author1
  • middle author1
  • last author11

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • eess.SY12
  • math.OC2
same name
  • Le Xie — 39 papers, h 50
  • Le Xie — 12 papers, h 10
  • Le Xie — 5 papers, h 3
  • Le Xie — 3 papers, h 2
  • Le Xie — 3 papers, h 1
  • Le Xie — 2 papers, h 24

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

activity
20232026
most citedEfficient Scenario Generation for Chance-constrained Economic Dispatch Considering Ambient Wind Conditions

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

eess.SY2024

Accelerating Chance-constrained SCED via Scenario Compression

Qian Zhang, Le Xie

This paper studies some compression methods to accelerate the scenario-based chance-constrained security-constrained economic dispatch (SCED) problem. In particular, we show that b…

eess.SY2024

The Transmission Value of Energy Storage and Fundamental Limitations

Qian Zhang, P. R. Kumar, Le Xie

This study addresses the transmission value of energy storage in electric grids. The inherent connection between storage and transmission infrastructure is captured from a "cumulat…

math.OC2024

Sample Complexity of Chance Constrained Optimization in Dynamic Environment

Apurv Shukla, Qian Zhang, Le Xie

We study the scenario approach for solving chance-constrained optimization in time-coupled dynamic environments. Scenario generation methods approximate the true feasible region fr…

math.OC2024★ 1 cited

Efficient Scenario Generation for Chance-constrained Economic Dispatch Considering Ambient Wind Conditions

Qian Zhang, Apurv Shukla, Le Xie

Scenario generation is an effective data-driven method for solving chance-constrained optimization while ensuring desired risk guarantees with a finite number of samples. Crucial c…

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