Fuzzy Bayesian Networks in Energy Engineering and Related Areas
Abstrak
The growing search for less polluting sources of electricity generation causes a need for energy system data analysis to improve energy planning, aiming for better decision-making and failure reduction. Therefore, this article presents a literature review investigating the application of an artificial intelligence methodology called Fuzzy Bayesian Networks in energy engineering and related fields. As a result, the analysis of countries publishing in the field revealed that China is the country that most researches on the application of Fuzzy Bayesian Networks, considering general research, and the filter considering the energy sector. Furthermore, in the energy context, Brazil also participates in global research. Various types of applications were also identified in electrical and energy engineering, as well as the use of this methodology for fault detection and, more recently, for decision-making in wind and nuclear systems.
Akses Cepat
PDF tidak tersedia langsung
Cek di sumber asli →- Tahun Terbit
- 2025
- Bahasa
- en
- Sumber Database
- Semantic Scholar
- DOI
- 10.1109/SEPOC67005.2025.11297702
- Akses
- Open Access ✓