Demo Data from VLDB 2026 / reviewers in the wild / expert
Nipun Popli
dblp:122/1648
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids
power system operation |
0.1 | 1 | 2011 | Wind Integration in Power Systems: Operational Challenges and Possible Solutions · Proc. IEEE 2011 |
Energy systems and smart grids › renewable energy
wind power integration |
0.1 | 1 | 2011 | Wind Integration in Power Systems: Operational Challenges and Possible Solutions · Proc. IEEE 2011 |
Methods — techniques the papers use, named apart from their topics
prediction · 0.2optimization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Wind Integration in Power Systems: Operational Challenges and Possible SolutionsabstractThis paper surveys major technical challenges for power system operations in support of large-scale wind energy integration. The fundamental difficulties of integrating wind power arise from its high inter-temporal variation and limited predictability. The impact of wind power integration is manifested in, but not limited to, scheduling, frequency regulations, and system stabilization requirements. Possible alternatives are suggested for a more reliable and cost-effective power system operation. New computationally efficient methods for improving system performances by using prediction and operational interdependencies over different time horizons remain critical open research problems. Le Xie 0001, Pedro M. S. Carvalho, Luis A. F. M. Ferreira, Juhua Liu, Bruce H. Krogh, Nipun Popli, Marija D. Ilic |
Proc. IEEE | 6 |