A comprehensive study on dry type transformer design with swarm-based metaheuristic optimization methods for industrial applications
Author:
Affiliation:
1. Department of Computer Engineering, Adana Science and Technology University, Adana, Turkey
2. Department of Electrical and Electronics Engineering, Adana Science and Technology University, Adana, Turkey
Publisher
Informa UK Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2018.1486908
Reference12 articles.
1. Kuru Tip Transformatör Optimizasyonuna Yeni Bir Yaklaşım: Ateş Böceği Algoritması
2. Neural networks applied to the design of dry-type transformers: an example to analyze the winding temperature and elevate the thermal quality
3. A novel numerical optimization algorithm inspired from weed colonization
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1. Fault Classification of Dry Type Transformer Using Pattern Recognition Neural Network;Lecture Notes in Electrical Engineering;2023
2. FEM-based Modeling and Optimization of Dry-Type Transformers with Metaheuristic Algorithms;Tehnicki vjesnik - Technical Gazette;2022-10-15
3. Gri Kurt Optimizasyon Algoritması ile Güç ve Dağıtım türü Transformatörlerin Ağırlık Optimizasyonu;Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi;2022-10-06
4. Modified Arithmetic Optimization Algorithm: A New Approach for Optimum Modeling of the CCHP system;Journal of Electrical Engineering & Technology;2022-07-29
5. Comparison of Heuristic Approaches in Weight Optimization of Different Power Levels Transformers;IETE Journal of Research;2022-07-22
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