A novel rule-based evolving Fuzzy System applied to the thermal modeling of power transformers

• Published in: Applied soft computing Vol. 112; p. 107764
• Main Authors: Alves, Kaike Sa Teles Rocha, Pestana de Aguiar, Eduardo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2021
• Subjects: Artificial intelligence; Evolving Fuzzy Systems; Power transformers; Thermal modeling; Time series forecasting; Time series forecasting; Thermal modeling; Evolving Fuzzy Systems; Power transformers; Artificial intelligence

Big Data advancements motivate researchers to develop and improve intelligent models to deal efficiently and effectively with data. In this scenario, time series forecasting obtains even more attention. The literature demonstrated the better performance of such models in this subject. Forecasting is...