Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2005-08-27

Included Journals: EI

Volume: 3612

Issue: PART III

Page Number: 1152-1161

Abstract: Forecasting reservoir inflow is important to hydropower reservoir management and scheduling. An Adaptive-Network-based Fuzzy Inference System (ANFIS) is successfully developed to forecast the long-term discharges in Manwan Hydropower. Using the long-term observations of discharges of monthly river flow discharges during 1953-2003, different types of membership functions and antecedent input flows associated with ANFIS model are tested. When compared to the ANN model, the ANFIS model has shown a significant forecast improvement. The training and validation results show that the ANFIS model is an effective algorithm to forecast the long-term discharges in Manwan Hydropower. The ANFIS model is finally employed in the advanced water resource project of Yunnan Power Group. © Springer-Verlag Berlin Heidelberg 2005.