no code implementations • 24 Oct 2023 • Alexandros-Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis, Spiros Mouzakitis, John Psarras, Dimitris Askounis
Short-term load forecasting (STLF) is crucial for the daily operation of power grids.
no code implementations • 23 Feb 2023 • Sotiris Pelekis, Ioannis-Konstantinos Seisopoulos, Evangelos Spiliotis, Theodosios Pountridis, Evangelos Karakolis, Spiros Mouzakitis, Dimitris Askounis
Short-term load forecasting (STLF) is vital for the effective and economic operation of power grids and energy markets.
no code implementations • 4 Mar 2021 • Evangelos Theodorou, Shengjie Wang, Yanfei Kang, Evangelos Spiliotis, Spyros Makridakis, Vassilios Assimakopoulos
The main objective of the M5 competition, which focused on forecasting the hierarchical unit sales of Walmart, was to evaluate the accuracy and uncertainty of forecasting methods in the field in order to identify best practices and highlight their practical implications.
no code implementations • 9 Feb 2021 • Spyros Makridakis, Chris Fry, Fotios Petropoulos, Evangelos Spiliotis
Forecasting competitions are the equivalent of laboratory experimentation widely used in physical and life sciences.
Applications
1 code implementation • 21 Oct 2020 • Mahdi Abolghasemi, Rob J Hyndman, Evangelos Spiliotis, Christoph Bergmeir
However, when dealing with hierarchical time series, apart from selecting the most appropriate forecasting model, forecasters have also to select a suitable method for reconciling the base forecasts produced for each series to make sure they are coherent.
no code implementations • 3 Jun 2020 • Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos
First, the proposed method allows for a non-linear combination of the base forecasts, thus being more general than the linear approaches.
2 code implementations • 31 Aug 2019 • Yanfei Kang, Evangelos Spiliotis, Fotios Petropoulos, Nikolaos Athiniotis, Feng Li, Vassilios Assimakopoulos
Instead of extrapolating, the future paths of the similar reference series are aggregated and serve as the basis for the forecasts of the target series.
Methodology Applications