1 citations · 1 across the 3 of their papers we have counts for
10 papers
Multi-objective probabilistic forecast combination for inventory demand
Shengjie Wang, Yanfei Kang, Evangelos Spiliotis +1
Probabilistic forecasts are essential for inventory management, where decisions depend on the full distribution of future demand. While probabilistic forecast combination is widely…
A Trustworthy By Design Classification Model for Building Energy Retrofit Decision Support
Panagiota Rempi, Sotiris Pelekis, Alexandros Menelaos Tzortzis +4
Improving energy efficiency in residential buildings is critical to combating climate change and reducing greenhouse gas emissions. Retrofitting existing buildings, which contribut…
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series
Alexandros-Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis +3
Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand…
The M6 forecasting competition: Bridging the gap between forecasting and investment decisions
Spyros Makridakis, Evangelos Spiliotis, Ross Hollyman +3
The M6 forecasting competition, the sixth in the Makridakis' competition sequence, is focused on financial forecasting. A key objective of the M6 competition was to contribute to t…
Model combinations through revised base-rates
Fotios Petropoulos, Evangelos Spiliotis, Anastasios Panagiotelis
Standard selection criteria for forecasting models focus on information that is calculated for each series independently, disregarding the general tendencies and performances of th…
Exploring the representativeness of the M5 competition data
Evangelos Theodorou, Shengjie Wang, Yanfei Kang +3
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 i…