Long-term prediction of discharges in Manwan Hydropower using adaptive-network-based fuzzy inference systems models

Chun Tian Cheng, Jian Yi Lin, Ying Guang Sun, Kwok Wing Chau

Research output: Journal article publicationConference articleAcademic researchpeer-review

84 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)1152-1161
Number of pages10
JournalLecture Notes in Computer Science
Issue numberPART III
Publication statusPublished - 24 Oct 2005
EventFirst International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 27 Aug 200529 Aug 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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