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.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:80740 |
| Date | 10 January 2023 |
| Creators | Ulbricht, Robert, Hartmann, Claudio, Hahmann, Martin, Donker, Hilko, Lehner, Wolfgang |
| Publisher | ACM |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/acceptedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 978-1-4503-3531-7, 10.1145/2882903.2899399 |
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