EDBT 2026 Demo / reviewers in the wild / expert
Haixiang Gao
dblp:164/4560
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids
electric vehicle |
0.3 | 1 | 2017 | Resilience-Oriented Pre-Hurricane Resource Allocation in Distribution Systems Considering Electric Buses · Proc. IEEE 2017 |
Energy systems and smart grids
power distribution network |
0.3 | 1 | 2017 | Resilience-Oriented Pre-Hurricane Resource Allocation in Distribution Systems Considering Electric Buses · Proc. IEEE 2017 |
Energy systems and smart grids › power system operation
power system restoration |
0.3 | 1 | 2017 | Resilience-Oriented Pre-Hurricane Resource Allocation in Distribution Systems Considering Electric Buses · Proc. IEEE 2017 |
Mathematical optimization › stochastic optimization
stochastic programming |
0.1 | 1 | 2017 | Resilience-Oriented Pre-Hurricane Resource Allocation in Distribution Systems Considering Electric Buses · Proc. IEEE 2017 |
Methods — techniques the papers use, named apart from their topics
stochastic programming · 0.6mixed integer linear programming · 0.6heuristic optimization · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Resilience-Oriented Pre-Hurricane Resource Allocation in Distribution Systems Considering Electric BusesabstractProactive preparedness to cope with extreme weather events is significantly helpful in reducing the restoration cost and enhancing the resilience of distribution systems. This paper is focused on the resource allocation problem in distribution systems ahead of a coming hurricane. Generation resources such as diesel oil and batteries are considered for allocation, which can be used to serve outage critical load in the post-hurricane restoration. Electric buses are also considered as a kind of resource. Considering the uncertainties of system faults, the allocation problem is formulated into a mixed-integer stochastic nonlinear program. A heuristic method is then proposed, which obtains the allocation plan by solving a mixed-integer linear program. Numerical simulations are performed on the IEEE 123-node feeder system under several scenarios to demonstrate the effectiveness of the proposed method. The impacts of resources transportation cost, initial distribution of electric buses, and hurricane severity on the allocation plan are discussed. Haixiang Gao, Ying Chen 0017, Shengwei Mei, Shaowei Huang, Yin Xu 0002 |
Proc. IEEE | 1 |