A new cast-resin transformer thermal model based on recurrent neural networks

Journal title

Archives of Electrical Engineering




No 1 March

Publication authors

Divisions of PAS

Nauki Techniczne


Polish Academy of Sciences




eISSN: 2300-2506 ; ISSN: 1427-4221


De (2009), Artificial neural network based prediction of maximum and minimum temperature in the summer monsoon months over India Research vol no pp, Applied Physics, 37. ; Ghareh (2008), Thermal modeling of dry - transformers and estimating temperature rise of Electrical Computer and vol no pp, International Journal Electronics Communication Engineering, 9, 1789. ; He (2000), Prediction of top - oil temperature for transformers using neural networks on vol no pp, IEEE Transactions Power Delivery, 15, 1205, ; Moreno (2015), Using neural networks for simulating and predicting core - end temperatures in electrical generators : power uprate application of Engineering and Technology vol no pp, World Journal, 1. ; Dianchun (2000), Thermal field and hottest spot of the ventilated dry - type transformer th International Conference on Properties and Applications of Dielectric Materials Xi an, IEEE China. ; Alias (2013), Neural network based temperature prediction of Advanced Research in Electrical and vol no pp, International Journal Electronics Instrumentation Engineering, 103. ; Assunção (2008), Transformer top - oil temperature modeling and simulation of Engineering and Technology vol no pp, World Academy Science, 10, 1115. ; Taghikhani (2012), Power transformer top oil temperature estimation with GA and PSO methods and vol no pp, Energy Power Engineering, 41, ; Cho (2002), The temperature distribution and thermal stress analysis of pole cast resin transformer for power distribution Conference International Symposium on Electrical Insulation Boston, IEEE USA. ; Gao (2005), NARMAX time series model prediction : feed - forward and recurrent fuzzy neural network approaches Sets and Systems vol no pp, Fuzzy, 150. ; Azizian (2014), Cast - resin dry - type transformer thermal modeling based on particle swarm optimization th International Workshop on Soft Computing Applications Timisoara, Romania, 6. ; April (1989), ANSI IEEE Guide for Loading Dry - Type Distribution and Power Transformers, IEEE, 57. ; Susa (2005), Temperature rises in an OFAF transformer at OFAN cooling mode in service on vol no pp, IEEE Transactions Power Delivery, 20, 2517, ; Azizian (2016), Windings temperature prediction in split - winding traction transformer of and vol no pp, Turkish Journal Electrical Engineering Computer Science, 24, 3011, ; Azizian (2016), Design optimization of cast - resin transformer using nature inspired algorithms for and Engineering vol no pp, Arabian Journal Science, 41, 3491, ; Rahimpor (2007), Analysis of temperature distribution in cast - resin dry - type transformers vol no pp, Electrical Engineering, 89, 301, ; Randakovic (2003), New method for the calculation of hot - spot temperature in power transformers with ONAN cooling on vol no pp, IEEE Transactions Power Delivery, 18, 1284, ; Azizian (2016), Application of heuristic methods for dynamic thermal modeling of cast - resin transformer of Advanced Intelligence Paradigms vol no pp, International Journal, 8, 288. ; Eslamian (2011), Thermal analysis of cast - resin dry - type transformers of and vol no pp, Journal Energy Conversion Management, 52, 2479, ; Jian (2007), Transformer real - time reliability model based on operating conditions of Zhejiang University vol no pp, Journal, 8, 378. ; Smith (2007), Improving air temperature prediction with artificial neural networks of Computer Control Quantum and vol no pp, International Journal Information Engineering, 10, 3100. ; Lee (2011), Air temperature effect on thermal models for ventilated dry - type transformers of Electrical Power System Research vol no pp, Journal, 81, 783. ; Susa (2005), Dynamic Thermal Modeling of Distribution Transformers on vol no pp, IEEE Transactions Power Delivery, 20, 1919, ; Baboo (2010), and An efficient weather forecasting system using artificial neural network of and Development vol no pp, International Journal Environmental Science, 321. ; Azizian (2010), A dynamic thermal based reliability model of cast - resin dry - type transformers International Conference on Power System Technology Hangzhou, China.