Short-term prediction of oil temperature change of an indoor transformer by Self-Organizing Map (SOM)

Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

Volumn 2, Issue , 2002, Pages 1366-1371

  Du, Hong ^a   Inui, Masahiro ^a   Ohkita, Masaaki ^a   Fujimura, Kikuo ^a   Tokutaka, Heizo ^a  

^a TOTTORI UNIVERSITY   (Japan)

Author keywords

Forecast Atmospheric Temperature; Indoor Transformer; Oil Temperature; Power System; Self Organizing Map (SOM); Short Term Prediction of Oil Temperature Change

Indexed keywords

ATMOSPHERIC TEMPERATURE; ELECTRIC TRANSFORMER LOADS; ELECTRIC TRANSFORMERS; SELF ORGANIZING MAPS; WEATHER FORECASTING;

OIL TEMPERATURE;

ELECTRIC POWER SYSTEMS;

EID: 0036088240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. The operation guideline of the oil filled transformers (in Japanese)
2. Improvement of prediction accuracy of oil temperature change of substation transformers by the genetic algorithm
3. Neural computer(in Japanese)
4. Data mining of power transformer database using self-organizing maps
5. Prediction of oil temperature change of substation transformer by application of self-organizing map(SOM)