Furthermore, they are accountable for decisions made based on such
forecasts.
Demandforecastswiththeirassociateduncertaintydonotprovide
enough ground for planners’ decision-making. While authors consider
that justifying decisions is a precondition for responsible decision-
making [32], and such justifications will be considered ever more
criticalinthefuture[33],ithasbeenshownthatexplanationsenhance
users’ acceptance and satisfaction, and provide means to understand
if causality is captured by the model [32]. Furthermore, model ex-
planationshavebeenfoundtoinfluencehumandecision-making[34].
Therefore,providingsuchexplanationstoplannershelpsthemunder-
stand the reasons driving such a forecast (e.g., features’ contribution
to the forecast [35]). Furthermore, enriching such explanations with
domain context [32] enables the planners to evaluate the forecasts’
soundness, make sure they agree on it, and eventually correct the
forecast[36]beforemakingadecision[37].Suchexplanationscanbe
Knowledge-graph-based-rich-and-confidentiality-preserving-Ex_2022_Informatio