発電用ダム流入量の時間変化予測に用いる入力情報の検討

Abstract

We examined the number and the combination at the ground rain gauge used to forecast the amount of the flow rate into the dam for the hydro power plant. A neural network system for this purpose is developed through a case study on a dam for hydro power plant located the upper district of the Yahagi River in Central Japan. We forecast when the rain gauge in three points, five points, and seven points was used within the rain gauge in seven places set up in the basin, and compared the results.