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researcher

D. Hill

30 papers hereh-index 8331.6k citations533 works total

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

author position
  • middle author11
  • last author18

Across the 29 of 30 papers where every author was matched, so the position is known.

fields
  • eess.SY19
  • math.OC8
  • cs.CY1
  • math.DS1
  • physics.app-ph1
same name
  • D. Hill — 409 papers, h 0
  • D. Hill — 132 papers
  • D. Hill — 27 papers, h 99
  • D. Hill — 22 papers
  • D. Hill — 14 papers, h 15
  • D. Hill — 12 papers

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
20142022
most citedDelay Aware Intelligent Transient Stability Assessment System

63 citations · 225 across the 29 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CY2016

Fast Stability Scanning for Future Grid Scenario Analysis

Ruidong Liu, Gregor Verbic, Jin Ma

Future grid scenario analysis requires a major departure from conventional power system planning, where only a handful of most critical conditions is typically analyzed. To capture…

eess.SY2016★ 1 cited

Intelligent Time-Adaptive Transient Stability Assessment System

James J. Q. Yu, David J. Hill, Albert Y. S. Lam +2

Online identification of post-contingency transient stability is essential in power system control, as it facilitates the grid operator to decide and coordinate system failure corr…

math.OC2016★ 1 cited

Generic Demand Model Considering the Impact of Prosumers for Future Grid Scenario Analysis

Hesamoddin Marzooghi, Shariq Riaz, Gregor Verbic +2

The increasing uptake of residential PV-battery systems is bound to significantly change demand patterns of future power systems and, consequently, their dynamic performance. In th…

math.DS2016★ 2 cited

Cooperative output regulation of multi-agent network systems with dynamic edges

Ji Xiang, Yanjun Li, David J. Hill

This paper investigates a new class of linear multi-agent network systems, in which nodes are coupled by dynamic edges in the sense that each edge has a dynamic system attached as…

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