A New Technical and Economic Prediction Algorithm for Transformers in Distribution Networks Based on Data Mining Algorithms
Author:
Affiliation:
1. State Grid Economic and Technological Research Institute Co. Ltd, China
2. Economic and Technological Research Institute, State Grid Shandong Electric Power Company, China
3. Cross-strait Tsinghua Research Institute, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3674225.3674350
Reference21 articles.
1. Kazmi S H H Holboll J Olesen T H et al.Dynamic Thermoelectric Modelling of Oil-Filled Transformers for Optimized Integration of Wind Power in Distribution Networks[C]//CIRED 2019.2019.
2. Kujszczyk S Gryko J Nazarko J .Choice of Voltage Regulator Settings For Transformers in Distribution Networks[J]. 1984.
3. Stacho B , Rusek S ,Radomír Goňo,et al.Maintenance optimisation of transformers 110 KV/MV in distribution networks[C]//Proceedings of the 8th International Scientific Conference Electric Power Engineering 2007, EPE 2007.2007.
4. Giraldo O .New Vision of the Real Average Load of Transformers in the Latin America's Distribution Networks[C]//IEEE/PES Transmission and Distribution Conference and Exposition.2008.DOI:10.1109/tdc-la.2008.4641747.
5. Strategies for Power/Energy Saving in Distribution Networks
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