Abstract: A method of generating forecasts from time series data includes receiving a set of time series data organized according to a data structure having a plurality of nodes, generating a plurality of base forecasts, including a base forecast for each node, and selecting a sub-set of the plurality of nodes as fixed nodes. The method also includes performing a reconciliation process to generate reconciled forecasts, where the reconciliation process includes reconciling only the base forecasts of non-fixed nodes, and merging the base forecasts of the fixed nodes and the reconciled forecasts of the non-fixed nodes to generate an overall forecast.