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

Journal title

Archives of Electrical Engineering




vol. 66


No 1 March

Publication authors

Divisions of PAS

Nauki Techniczne


ARCHIVES OF ELECTRICAL ENGINEERING (AEE) (previously Archiwum Elektrotechniki), quarterly journal of the Polish Academy of Sciences is OpenAccess (PAN Electronic Library, publishing original scientific articles and short communiques from all branches of Electrical Power Engineering exclusively in English. The main fields of interest are related to the theory & engineering of the components of an electrical power system: switching devices, arresters, reactors, conductors, etc. together with basic questions of their insulation, ampacity, switching capability etc.; electrical machines and transformers; modelling & calculation of circuits; electrical & magnetic fields problems; electromagnetic compatibility; control problems; power electronics; electrical power engineering; nondestructive testing & nondestructive evaluation.

Scoring assigned by the Polish Ministry of Science and Higher Education: 15 points

CiteScore metrics from Scopus, CiteScore 2017: 0.86

SCImago Journal Rank (SJR) 2017: 0.233

Source Normalized Impact per Paper (SNIP) 2017: 0.661

ICI Journal Master List 2016, Index Copernicus Value: 121.43


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.