ENERGENIUS
Published July 30, 2025 | Version v1
Journal article Open

BayesReconPy: A Python package for forecast reconciliation

Authors/Creators

  • 1. Scuola universitaria professionale della Svizzera italiana
  • 2. ROR icon University of Applied Sciences and Arts of Southern Switzerland
  • 3. ROR icon Dalle Molle Institute for Artificial Intelligence Research

Description

BayesReconpy implements methods for probabilistic forecast reconciliation in Python. It reconciles hierarchies containing real-valued time series, discrete time series and a mixture of real-valued and discrete time series (mixed hierarchies).

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10.21105.joss.08336.pdf

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Additional details

Funding

European Commission
ENERGENIUS - leveraging the energy transition by gamified learning and AI, guided by cross sectoral integrated services and digital twin models to foster accessible and human-centered energy saving experiences 101160720

Software

Repository URL
https://github.com/supsi-dacd-isaac/BayesReconPy
Programming language
Python
Development Status
Active