Decision-making support in the presence of uncertainty in advanced distribution management systems: a wisdom hierarchy-based perspective

This paper considers decision-making under uncertainty in DSO's (Distribution System Operator) operational and expansion planning business processes. It provides insight into the pillars of decision-making processes by linking them to the elements of the DIKW (Data, Information, Knowledge, Wisdom) hierarchy. The paper discusses a collective problem-solving concept and links it to knowledge and wisdom elements of the DIKW hierarchy. Based on that, it proposes a collective problem-solving-based framework to improve solving real-life (complex) decision-making problems within an ADMS in an uncertain environment.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.1457
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
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article

Decision-making support in the presence of uncertainty in advanced distribution management systems: a wisdom hierarchy-based perspective

Vladan Krsman, Branislav Brbaklić, Jovan S. Dojić, Željko Popović
IET conference proceedings.
Energy Load and Power Forecasting
article

Decision-making support in the presence of uncertainty in advanced distribution management systems: a wisdom hierarchy-based perspective

Vladan Krsman, Branislav Brbaklić, Jovan S. Dojić, Željko Popović
article en

Abstract

This paper considers decision-making under uncertainty in DSO's (Distribution System Operator) operational and expansion planning business processes. It provides insight into the pillars of decision-making processes by linking them to the elements of the DIKW (Data, Information, Knowledge, Wisdom) hierarchy. The paper discusses a collective problem-solving concept and links it to knowledge and wisdom elements of the DIKW hierarchy. Based on that, it proposes a collective problem-solving-based framework to improve solving real-life (complex) decision-making problems within an ADMS in an uncertain environment.

IET conference proceedings.Vol. 2025(14)
Schneider Electric (France) (FR), University of Novi Sad (RS)
Openalex Percentile: Top 71%
Energy Load and Power Forecasting
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