Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from VLDB 2026 / reviewers in the wild / expert

Robert Ulbricht

dblp:127/0443 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids
energy forecasting		 0.212016
Web-based Benchmarks for Forecasting Systems: The ECAST Platform · SIGMOD Conference 2016
Performance modeling and evaluation
benchmarking		 0.112016
Web-based Benchmarks for Forecasting Systems: The ECAST Platform · SIGMOD Conference 2016

Methods — techniques the papers use, named apart from their topics

performance comparison · 0.5forecasting · 0.5
YearPublicationVenuePosition
2016 Web-based Benchmarks for Forecasting Systems: The ECAST Platform
abstract
The role of precise forecasts in the energy domain has changed dramatically. New supply forecasting methods are developed to better address this challenge, but meaningful benchmarks are rare and time-intensive. We propose the ECAST online platform in order to solve that problem. The system's capability is demonstrated on a real-world use case by comparing the performance of different prediction tools.
Robert Ulbricht, Claudio Hartmann, Martin Hahmann, Hilko Donker, Wolfgang Lehner
 SIGMOD Conference1