Abstract
Solar energy is an important and reliable source of energy. Better understanding the concepts and relationships of the factors that affect solar energy generation capacity can enhance the usage of solar energy. This understanding can lead investors and governors in their solar power investments. However, solar power generation process is complicated, and the relations among the factors are vague and hesitant. In this paper, a hesitant fuzzy cognitive map for solar energy generation is developed and used for modeling and analyzing the ambiguous relations. The concepts and the relationships among them are defined by using experts’ opinions. Different scenarios are formed and evaluated with the proposed model.
| Original language | English |
|---|---|
| Pages (from-to) | 1149-1167 |
| Number of pages | 19 |
| Journal | International Journal of Computational Intelligence Systems |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2017 |
Bibliographical note
Publisher Copyright:© 2017, the Authors. Published by Atlantis Press.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Fuzzy cognitive maps
- hesitant fuzzy sets
- renewable energy
- solar energy generation
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