Web-based Benchmarks for Forecasting Systems: The ECAST Platform

R. Ulbricht, Claudio Hartmann, M. Hahmann, H. Donker, Wolfgang Lehner
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引用次数: 5

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.
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基于网络的预测系统基准:ECAST平台
精确预测在能源领域的作用发生了巨大变化。为了更好地应对这一挑战,开发了新的供应预测方法,但有意义的基准很少,而且耗时。为了解决这个问题,我们提出了ECAST在线平台。通过比较不同预测工具的性能,在实际用例中演示了系统的能力。
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