GAによるデータ規格化と線形回帰モデルに基づく電力系統の台風被害予測

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  • A Prediction Method of Damage by Typhoons to Power Systems via Linear Regression Model based on Normalization of Data by GA
  • GA ニ ヨル データ キカクカ ト センケイ カイキ モデル ニ モトヅク デンリョク ケイトウ ノ タイフウ ヒガイ ヨソク

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Typhoons strike Kagoshima district every year and sometimes hit power systems very badly and cut off the electricity. In order to resume normal services as soon as possible, one needs to predict the damage by typhoons accurately. This paper proposes a prediction method of the damage of power systems by using a linear regression model, in which the date on typhoons and harms are efficiently normalized by genetic algorithm. From weather information about the forthcoming typhoon, it enables us to predict the damage of electric lines, poles, and so on. Effectiveness of this prediction method is assured by applying it to the actual data.

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