Location-based uncertainty management of off-shore wind farms: A multiple radius robust decision making

2022 ◽  
Vol 136 ◽  
pp. 107667
Author(s):  
Mahdis Haddadi ◽  
Abbas Rabiee ◽  
Saman Nikkhah
Keyword(s):  
Decision Making ◽  
Wind Farms ◽  
Uncertainty Management ◽  
Robust Decision Making

Robust Decision Making in Irrigation

2013 ◽  
pp. 169-188
Author(s):  
Raffaello Cervigni ◽  
Riccardo Valentini ◽  
Monia Santini
Keyword(s):  
Decision Making ◽  
Robust Decision Making

scholarly journals Managing Uncertainty in AI-Enabled Decision Making and Achieving Sustainability

2020 ◽  
Vol 12 (21) ◽  
pp. 8758
Author(s):  
Junyi Wu ◽  
Shari Shang
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Content Analysis ◽  
Literature Review ◽  
Uncertainty Management ◽  
Three Dimensions ◽  
Changing World

Artificial intelligence (AI) has been applied to various decision-making tasks. However, scholars have yet to comprehend how computers can integrate decision making with uncertainty management. Obtaining such comprehension would enable scholars to deliver sustainable AI decision-making applications that adapt to the changing world. This research examines uncertainties in AI-enabled decision-making applications and some approaches for managing various types of uncertainty. By referring to studies on uncertainty in decision making, this research describes three dimensions of uncertainty, namely informational, environmental and intentional. To understand how to manage uncertainty in AI-enabled decision-making applications, the authors conduct a literature review using content analysis with practical approaches. According to the analysis results, a mechanism related to those practical approaches is proposed for managing diverse types of uncertainty in AI-enabled decision making.

scholarly journals Use of Analytic Hierarchy Process for Wind Farm Installation Region Prioritization–Case Study

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2284 ◽  
Author(s):  
Rômulo Lemos Bulhões ◽  
Eudemário Souza de Santana ◽  
Alex Álisson Bandeira Santos
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Wind Farm ◽  
Greenhouse Gas Emission ◽  
Wind Farms ◽  
Clean Energy ◽  
Poor Quality ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Electricity generation via renewable sources is emerging as a possible solution to meet the growing demand for electricity worldwide. Additionally, the need to produce clean energy, with little or no pollutants or greenhouse gas emission is paramount. Due to these factors, wind farms are noticeably increasing in number, especially in Brazil. However, the vast size of the country and the poor quality of its infrastructure are among several factors that make it difficult for effective decision-making to accelerate the growth of this segment in Brazil. With the purpose of assisting government agencies, regulatory agencies and other institutions in this area, the use of a multi-criteria selection method called the analytic hierarchy process is proposed here to assist in decision-making and to select priority regions for implementing wind farms. This work focuses on a case study of the state of Bahia, in which 27 territories were selected for an installation priority evaluation. Computational tools were used to hierarchize these chosen territories, including Matlab, for the construction of the computational algorithm. The results indicate the priority pf the regions according to the established criteria, which allows installation locations to be mapped—these could serve as a basis for regional investment.

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