Energy planning under uncertain decision-making environment: An evidential reasoning approach to prioritize renewable energy sources

Authors

  • Hamza Sellak
  • Brahim Ouhbi
  • Bouchra Frikh

DOI:

https://doi.org/10.4114/intartif.vol20iss59pp21-31

Abstract

Nowadays, making strategic decisions in a sensitive sector such as energy planning that usually requires
allocating huge funds, time, and resources is a difficult task. For instance, prioritizing a set of Renewable Energy
Sources (RES) is a complex multi-dimensional task that typically involves a range of conflicting criteria featuring
different forms of evaluation data in an uncertain decision-making environment. This process is aligned with
several sources that can be uncertain, including imprecise information, limited domain knowledge from decisionmakers,
and failures to provide accurate judgments from experts. In this study, we propose to use the Evidential
Reasoning (ER) approach to manage the expanding complexities and uncertainties in RES prioritization problem.
The ER approach is employed as a multiple criteria framework to assess the appropriateness regarding the use of
different renewable energy technologies. A case study is provided to illustrate the implementation process. Results
show that using the ER approach when assessing the sustainability of different RES under uncertainty allows
providing robust decisions, which brings out a more accurate, effective, and better-informed decision-making tool
to conduct the evaluation process.

Downloads

Download data is not yet available.

Published

2017-02-01

How to Cite

Sellak, H., Ouhbi, B., & Frikh, B. (2017). Energy planning under uncertain decision-making environment: An evidential reasoning approach to prioritize renewable energy sources. Inteligencia Artificial, 20(59), 21-31. https://doi.org/10.4114/intartif.vol20iss59pp21-31