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Found 4 papers, 1 papers with code
A step towards digital operations -- A novel grey-box approach for modelling the heat dynamics of Ultra-low temperature freezing chambers
In addition, the model for local evaporator temperature can effectively adapt to different operational patterns and provide insight into the local cooling supply status.
Structural hierarchical learning for energy networks
Overall, this work expands and improves hierarchical learning methods thanks to a structurally-scaled learning mechanism extension coupled with tailored network designs, producing a resourceful, data-efficient, and information-rich learning process.
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads
With this work, we propose a novel multi-dimensional hierarchical forecasting method built upon structurally-informed machine-learning regressors and established hierarchical reconciliation taxonomy.
onlineforecast: An R package for adaptive and recursive forecasting
Users can create new models for their particular applications and run models in an operational setting.
