Web-based benchmarks for forecasting systems-The ECAST platform
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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.
Details
Originalsprache | Englisch |
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Titel | SIGMOD '16: Proceedings of the 2016 International Conference on Management of Data |
Herausgeber (Verlag) | Association for Computing Machinery (ACM), New York |
Seiten | 2169-2172 |
Seitenumfang | 4 |
ISBN (Print) | 978-1-4503-3531-7 |
Publikationsstatus | Veröffentlicht - 26 Juni 2016 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Publikationsreihe
Reihe | MOD: International Conference on Management of Data (SIGMOD) |
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Konferenz
Titel | 2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016 |
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Dauer | 26 Juni - 1 Juli 2016 |
Stadt | San Francisco |
Land | USA/Vereinigte Staaten |
Externe IDs
ORCID | /0000-0001-8107-2775/work/142253566 |
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Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Benchmark, Time series forecasting, Transparency