Showing 1–12 of 12 results
/ Date/ Name
Mar 30, 2021Model combinations through revised base-ratesOct 24, 2023Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time seriesDec 4, 2020Forecasting: theory and practiceJun 3, 2020Hierarchical forecast reconciliation with machine learningAug 31, 2019Déjà vu: A data-centric forecasting approach through time series cross-similarityFeb 23, 2023A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy driversApr 8, 2025A Trustworthy By Design Classification Model for Building Energy Retrofit Decision SupportOct 20, 2023The M6 forecasting competition: Bridging the gap between forecasting and investment decisionsFeb 9, 2021The future of forecasting competitions: Design attributes and principlesOct 21, 2020Model selection in reconciling hierarchical time seriesMar 4, 2021Exploring the representativeness of the M5 competition dataFeb 23, 2021Wielding Occam's razor: Fast and frugal retail forecasting