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A Method for Hot Spot Temperature Prediction of a 10 kV Oil-Immersed Transformer
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470258354.ch35openalex-snapshot
Introduction to Orthogonal Arrays
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-1-4757-3264-1openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-3-030-05105-1_2openalex-snapshot
Introduction to Thermodynamics and Heat Transfer
inferredcites →https://doi.org/10.1016/j.epsr.2011.07.020openalex-snapshot
Particle swarm optimization-least squares support vector regression based forecasting model on dissolved gases in oil-filled power transformers
inferredcites →https://doi.org/10.1016/j.eswa.2017.08.038openalex-snapshot
Parameter optimization of support vector regression based on sine cosine algorithm
inferredcites →https://doi.org/10.1016/j.ijthermalsci.2005.09.002openalex-snapshot
Numerical study of heat transfer and fluid flow in a power transformer
inferredcites →https://doi.org/10.1049/iet-smt.2018.0058openalex-snapshot
Electrostatic field features on the shortest interelectrode path and a SVR model for breakdown voltage prediction of rod–plane air gaps
inferredcites →https://doi.org/10.1049/oap-cired.2017.0539openalex-snapshot
Comparisons of transformer top oil temperature calculation models using support vector regression optimised by genetic algorithm
inferredcites →https://doi.org/10.1109/61.891504openalex-snapshot
Prediction of top-oil temperature for transformers using neural networks
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A fundamental approach to transformer thermal modeling. I. Theory and equivalent circuit
inferredcites →https://doi.org/10.1109/access.2019.2903889openalex-snapshot
Optimum Methods of Thermal-Fluid Numerical Simulation for Switchgear
inferredcites →https://doi.org/10.1109/access.2019.2911712openalex-snapshot
Numerical Study on Natural Convective Heat Transfer of Nanofluids in Disc-Type Transformer Windings
inferredcites →https://doi.org/10.1109/appeec.2015.7381066openalex-snapshot
Transformer hot spot temperature prediction using a hybrid algorithm of support vector regression and information granulation
inferredcites →https://doi.org/10.1109/cec.2005.1555039openalex-snapshot
A Particle Swarm Optimiser with Passive Congregation Approach To Thermal Modelling For Power Transformers
inferredcites →https://doi.org/10.1109/ieeestd.2012.6166928openalex-snapshot
IEEE Guide for Loading Mineral-Oil-Immersed Transformers and Step-Voltage Regulators
inferredcites →https://doi.org/10.1109/iseim.2008.4664443openalex-snapshot
A study on internal temperature monitoring system for power transformer using pptical fiber Bragg grating sensors
inferredcites →https://doi.org/10.1109/ofs.2002.1000770openalex-snapshot
Stability of fiber Bragg grating sensors for integration into high-voltage transformers for online monitoring
inferredcites →https://doi.org/10.1109/tdei.2015.004718openalex-snapshot
Study on glaze electrical erosion characteristics of porcelain post insulator by using inclined plane and graphite-layer-based method
inferredcites →https://doi.org/10.1109/tdei.2015.005398openalex-snapshot
Hybrid prediction of the power frequency breakdown voltage of short air gaps based on orthogonal design and support vector machine
inferredcites →https://doi.org/10.1109/tmag.2014.2330953openalex-snapshot
3-D Coupled Electromagnetic-Fluid-Thermal Analysis of Oil-Immersed Triangular Wound Core Transformer
inferredcites →https://doi.org/10.1109/tpwrd.2005.852284openalex-snapshot
Temperature Rises in an OFAF Transformer at OFAN Cooling Mode in Service
inferredcites →https://doi.org/10.1117/12.401707openalex-snapshot
Novel method for improving the space resolution of distributed optical fiber temperature sensing system using decoupling technique
inferredcites →https://doi.org/10.3390/en10040422openalex-snapshot
A 3-D Coupled Magneto-Fluid-Thermal Analysis of a 220 kV Three-Phase Three-Limb Transformer under DC Bias
inferredcites →https://doi.org/10.3390/en10081079openalex-snapshot
Analysis and Experiment of Hot-Spot Temperature Rise of 110 kV Three-Phase Three-Limb Transformer
inferredcites →https://doi.org/10.5860/choice.44-0339openalex-snapshot
Taguchi's quality engineering handbook
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-981-97-1072-0_46openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40430-023-04516-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.applthermaleng.2022.119660openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.applthermaleng.2023.121728openalex-snapshot
An online learning method for constructing self-update digital twin model of power transformer temperature prediction
inferred← citeshttps://doi.org/10.1016/j.csite.2022.102268openalex-snapshot
A new method for transformer hot-spot temperature prediction based on dynamic mode decomposition
inferred← citeshttps://doi.org/10.1016/j.csite.2024.104108openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109556openalex-snapshot
Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114621openalex-snapshot
An optimized hybrid deep learning approach with uncertainty quantification for accurate transformer winding hotspot temperature forecasting
inferred← citeshttps://doi.org/10.1016/j.epsr.2022.108260openalex-snapshot
A temperature calculation method of oil immersed transformer considering delay effects and multiple environmental factors
inferred← citeshttps://doi.org/10.1016/j.epsr.2024.110460openalex-snapshot
A digital twin model of the axial temperature field of a DC cable for millisecond calculations
inferred← citeshttps://doi.org/10.1016/j.epsr.2026.113812openalex-snapshot
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Transformer hot spot temperature estimation through adaptive neuro fuzzy inference system approach
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Magnetic-thermal analysis of distribution transformer: Validation via optical fiber sensors and thermography
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Harmonics impact on hotspot temperature increment of distribution transformers: Nonuniform magnetic-thermal approach
inferred← citeshttps://doi.org/10.1049/elp2.12175openalex-snapshot
Forecasting thermal parameters for ultra‐high voltage transformers using long‐ and short‐term time‐series network with conditional mutual information
inferred← citeshttps://doi.org/10.1049/elp2.12532openalex-snapshot
Inversion of the temperature field in oil‐immersed reactors using optimal measurement points selected by random forest
inferred← citeshttps://doi.org/10.1049/gtd2.12502openalex-snapshot
Thermal evaluation optimization analysis for non‐rated load oil‐natural air‐natural transformer with auxiliary cooling equipment
inferred← citeshttps://doi.org/10.1049/hve2.12333openalex-snapshot
Dynamic thermal rating assessment of oil‐immersed power transformers for multiple operating conditions
inferred← citeshttps://doi.org/10.1049/nde2.12093openalex-snapshot
Thermal analysis of mineral oil‐based nanofluids of distribution transformers exposed to simultaneous current and voltage harmonics
inferred← citeshttps://doi.org/10.1063/5.0213051openalex-snapshot
An LSTM neural network prediction model of ultra-short-term transformer winding hotspot temperature
inferred← citeshttps://doi.org/10.1109/access.2021.3049235openalex-snapshot
Inversion Detection of Transformer Transient Hot Spot Temperature
inferred← citeshttps://doi.org/10.1109/access.2021.3056529openalex-snapshot
A Prediction Model of Hot Spot Temperature for Split-Windings Traction Transformer Considering the Load Characteristics
inferred← citeshttps://doi.org/10.1109/access.2023.3305254openalex-snapshot
Research on Inversion Model of Winding Hot Spot Temperature of 10-kV Oil-Immersed Three-Dimensional Coiled Core Transformer
inferred← citeshttps://doi.org/10.1109/access.2024.3480789openalex-snapshot
A Comprehensive Review on Artificial Intelligence-Based Applications for Transformer Thermal Modeling: Background and Perspectives
inferred← citeshttps://doi.org/10.1109/ceepe64987.2025.11034074openalex-snapshot
Study on the Influence of Harmonics on the Temperature Distribution of Traction Transformers Based on Long-Term Waveform Recording Data
inferred← citeshttps://doi.org/10.1109/ciycee63099.2024.10846410openalex-snapshot
Research on Hot Spot Temperature Modeling and Forecasting Method of Oil-Immersed Transformer
inferred← citeshttps://doi.org/10.1109/icaica54878.2022.9844506openalex-snapshot
Research on temperature prediction of subway transformer based on LSTM
inferred← citeshttps://doi.org/10.1109/icgea54406.2022.9791900openalex-snapshot
An Overview on Condition Monitoring & Health Assessment Techniques for Distribution Transformers
inferred← citeshttps://doi.org/10.1109/ichve61955.2024.10676256openalex-snapshot
Research on Rolling Forecast Method of Short-Term Dynamic Thermal Rating of Oil-immersed Power Transformer
inferred← citeshttps://doi.org/10.1109/iciea48937.2020.9248185openalex-snapshot
Winding Temperature Analysis of 3-D Wound Core Transformer Under Overload and Short-Circuit Conditions
inferred← citeshttps://doi.org/10.1109/icopesa56898.2023.10141040openalex-snapshot
Temperature Field Simulation Analysis of Distribution Transformers Based on Fluid-Temperature Field Coupling
inferred← citeshttps://doi.org/10.1109/icsess62520.2024.10719039openalex-snapshot
Prediction of Transformer Oil Temperature Based on Feature Selection and Deep Neural Network
inferred← citeshttps://doi.org/10.1109/ieeeconf48524.2019.9102485openalex-snapshot
Modeling the Temperature of the Distribution Transformer Oil Using Transformer Body Temperature and Power Quality Parameters Based on Artificial Neural Network
inferred← citeshttps://doi.org/10.1109/isgteurope64741.2025.11305292openalex-snapshot
Predicting Transformer Hotspot Temperature: A Comparative Study of FNN and LSTM-PCA
inferred← citeshttps://doi.org/10.1109/powercon58120.2023.10331427openalex-snapshot
Prediction of Transformer Top Oil Temperature Based on Bayesian Optimization and LSTM Neural Network
inferred← citeshttps://doi.org/10.1109/pssgt64932.2025.11034085openalex-snapshot
Study on Fast Calculation Model of Hot Spot Temperature of Distribution Transformer Considering Temperature Coupling between Windings
inferred← citeshttps://doi.org/10.1109/tdei.2022.3228974openalex-snapshot
An Improved Geometric Model for Constructing Frequency-Domain Spectroscopy of Nonuniform Aged Oil–Paper Insulation
inferred← citeshttps://doi.org/10.1109/tdei.2023.3295760openalex-snapshot
Liquid-Immersed Distribution Transformers’ Thermal Analysis With Consideration of Unbalanced Load Current Effect
inferred← citeshttps://doi.org/10.1109/tdei.2025.3540786openalex-snapshot
Impact of Combined Current and Voltage Harmonics on the Thermal Behavior of Distribution Transformers: A Coupled Nonuniform Magnetic–Thermal Approach
inferred← citeshttps://doi.org/10.1109/tie.2022.3206690openalex-snapshot
Novel Hotspot Temperature Prediction of Oil-Immersed Distribution Transformers: An Experimental Case Study
inferred← citeshttps://doi.org/10.1109/tim.2026.3662906openalex-snapshot
A Fast Calculation Method Integrating POD-SSA-KELM for Steady-State Temperature Field of Oil-Immersed Transformer Windings
inferred← citeshttps://doi.org/10.1109/tpwrd.2022.3199999openalex-snapshot
Distribution Transformer Loading: Probabilistic Modeling and Diversity Factor
inferred← citeshttps://doi.org/10.1109/tpwrd.2025.3591280openalex-snapshot
Data-Driven Inversion and Prediction Method for Hot-Spot Temperature of Oil-Immersed Transformer
inferred← citeshttps://doi.org/10.1109/tte.2023.3243738openalex-snapshot
Simultaneous Multispot Temperature Prediction of Traction Transformer in Urban Rail Transit Using Long Short-Term Memory Networks
inferred← citeshttps://doi.org/10.1109/tte.2023.3339133openalex-snapshot
A Method for Calculating Hot-Spot Temperature of Traction Transformer Based on Multiphysical Model and Combined Neural Network
inferred← citeshttps://doi.org/10.1142/s0217984921400212openalex-snapshot
Influence of insulation paper on the hot spot temperature of oil-immersed transformer winding
inferred← citeshttps://doi.org/10.2298/tsci221109051yopenalex-snapshot
Case study on thermal optimization of oil immersed transformer used in solar power plant based on genetic algorithm and computational fluid dynamics
inferred← citeshttps://doi.org/10.2298/tsci250426128fopenalex-snapshot
Thermal characteristics of natural ester transformers under extreme ambient temperatures
inferred← citeshttps://doi.org/10.2339/politeknik.1308444openalex-snapshot
Dağıtım Transformatörleri İçin En Sıcak Nokta Sıcaklığına Dayalı Bir Ömür Sayacının Tasarımı Ve Saha Uygulaması
inferred← citeshttps://doi.org/10.23919/cjee.2024.000052openalex-snapshot
Simulation of Ultrasonic Propagation in Transformers within Thermal Fields and Intelligent Methodology for Hot-Spot Temperature Recognition
inferred← citeshttps://doi.org/10.3233/jae-210157openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics14163322openalex-snapshot
Hot-Spot Temperature Reduction in Oil-Immersed Transformers via Kriging-Based Structural Optimization of Winding Channels
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