Web-based Benchmarks for Forecasting Systems - The ECAST Platform
Summary: Web-based benchmarks for energy forecasting; ECAST is an online platform for reproducible, scalable evaluation of forecasting tools. Real-world study compares multiple predictors, showing ECAST's ability to host, execute, and compare models. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Robert Ulbricht (Robotron Datenbank-Software GmbH)
- 2. Claudio Hartmann (Technical University of Dresden)
- 3. Martin Hahmann (Technical University of Dresden)
- 4. Hilko Donker (Robotron Datenbank-Software GmbH)
- 5. Wolfgang Lehner (Technical University of Dresden)
BibTeX Citation
@inproceedings{ulbricht_sigmod16,
title = {{Web-based Benchmarks for Forecasting Systems - The ECAST Platform}},
author = {Ulbricht, Robert and Hartmann, Claudio and Hahmann, Martin and Donker, Hilko and Lehner, Wolfgang},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2899399},
url = {https://dl.acm.org/doi/10.1145/2882903.2899399},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,170 | A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection | 2021 | VLDB | 5.3096515e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,141 | AutoAI-TS: AutoAI for Time Series Forecasting | 2021 | SIGMOD |
| 2 | 5,129 | AutoCTS: Automated Correlated Time Series Forecasting | 2022 | VLDB |
| 3 | 11,736 | FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data | 2021 | VLDB |
| 4 | 5,158 | Forecasting Big Time Series: Old and New | 2018 | VLDB |
| 5 | 5,182 | Probabilistic Demand Forecasting at Scale | 2017 | VLDB |
| 6 | 4,424 | Classical and Contemporary Approaches to Big Time Series Forecasting | 2019 | SIGMOD |
| 7 | 3,493 | Processing Forecasting Queries | 2007 | VLDB |
| 8 | 13,318 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB |
| 9 | 13,460 | Automated energy consumption forecasting with EnForce | 2021 | VLDB |
| 10 | 3,369 | TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | 2024 | VLDB |