Presentation Information
[229]ASSESSING THE EFFECTIVENESS OF MULTI-BASIN LEARNING AND BASIN-SPECIFIC FINE-TUNING FOR 1–90-HOUR-AHEAD DAM INFLOW PREDICTION USING DEEP LEARNING
*Hayata YANAGIHARA1, Ryosuke ARAI2 (1. 一般財団法人電力中央研究所、2. 一般財団法人電力中央研究所)
Keywords:
dam inflow,encoder-decoder LSTM,fine-tuning,multi-basin learning,runoff prediction
