Web-based benchmarks for forecasting systems-The ECAST platform
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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
Original language | English |
---|---|
Title of host publication | SIGMOD '16: Proceedings of the 2016 International Conference on Management of Data |
Publisher | Association for Computing Machinery (ACM), New York |
Pages | 2169-2172 |
Number of pages | 4 |
ISBN (print) | 978-1-4503-3531-7 |
Publication status | Published - 26 Jun 2016 |
Peer-reviewed | Yes |
Externally published | Yes |
Publication series
Series | MOD: International Conference on Management of Data (SIGMOD) |
---|
Conference
Title | 2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016 |
---|---|
Duration | 26 June - 1 July 2016 |
City | San Francisco |
Country | United States of America |
External IDs
ORCID | /0000-0001-8107-2775/work/142253566 |
---|
Keywords
ASJC Scopus subject areas
Keywords
- Benchmark, Time series forecasting, Transparency