@article{oai:ir.kagoshima-u.ac.jp:00007322,
 author = {高田, 等 and TAKATA, Hitoshi and 川路, 真也 and KAWAJI, Shinya and 八野, 知博 and HACHINO, Tomohiro},
 journal = {鹿児島大学工学部研究報告, The research reports of the Faculty of Engineering, Kagoshima University},
 month = {Oct},
 note = {Kagoshima Prefecture is located in a typhoon path, so its electric power systems have been destroyed by typhoon every year. To ensure the rapid restoration of electricity supply, one needs to predict the amount of damage accurately. This paper considers the damage prediction in each district on the main island in Kagoshima Prefecture by using the GA (Genetic Algorithm), linear regression model, and NN (Neural Networks). The track of typhoon is evaluated by counting values of a given Gaussian function made by the GA. A predictor consists of linear regression model at the first stage and the NN at the second stage. This method enables us to predict the number of damaged distribution poles and lines from weather forecasts of a coming typhoon. Effectiveness of the method is assured by applying it to the actual date.},
 pages = {35--43},
 title = {鹿児島県本土の各地区における電力系統台風被害予測に関する研究},
 volume = {48},
 year = {2006}
}