activity
20192026
most citedA comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers

33 citations · 93 across the 10 of their papers we have counts for

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5 papers · 1 filter

stat.AP2026

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…

stat.AP2023★ 4 cited

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…

stat.AP2021

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…

stat.AP2021

The future of forecasting competitions: Design attributes and principles

Spyros Makridakis, Chris Fry, Fotios Petropoulos +1

Forecasting competitions are the equivalent of laboratory experimentation widely used in physical and life sciences. They provide useful, objective information to improve the theor…

stat.AP2020★ 27 cited

Forecasting: theory and practice

Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organ…