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  "Title": "Coherent Forecast Combination for Linearly Constrained Multiple\nTime Series",
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  "Description": "Methods and tools designed to improve the forecast\naccuracy for a linearly constrained multiple time series, while\nfulfilling the linear/aggregation relationships linking the\ncomponents (Girolimetto and Di Fonzo, 2024\n<doi:10.48550/arXiv.2412.03429>). 'FoCo2' offers multi-task\nforecast combination and reconciliation approaches leveraging\ninput from multiple forecasting models or experts and ensuring\nthat the resulting forecasts satisfy specified linear\nconstraints. In addition, linear inequality constraints (e.g.,\nnon-negativity of the forecasts) can be imposed, if needed.",
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