Open AccessPeramalan Aliran Masukan Waduk Mrica Menggunakan ModelThomas-Fieringdan Jaringan Syaraf Tiruan ANFIS
Author(s) -
Imron Rosyadi
Publication year - 2011
Publication title -
jurnal ilmiah dinamika rekayasa
Language(s) - English
Resource type - Journals
eISSN - 2527-6131
pISSN - 1858-3075
DOI - 10.20884/1.dr.2011.7.2.49
Subject(s) - inflow , adaptive neuro fuzzy inference system , hydropower , computer science , sustainability , fuzzy logic , hydrology (agriculture) , range (aeronautics) , operations research , meteorology , artificial intelligence , fuzzy control system , geotechnical engineering , mathematics , engineering , geography , ecology , electrical engineering , biology , aerospace engineering
Inflow forecasting in hydrology processes is important tool in water resources management,planning, and utilization. The fulfillment of this operational hydrology isvery applicable, especially where onlyan insufficient amount of data collected over an insufficient length of time is available. The Thomas-Fiering Method is one of the most useful and widely used synthetic flow models. In last year’s, ArtificialNeural Network (ANN)method and Fuzzy Logic have introduced in hydrological processes. Mrica hydropower reservoir in Central Java, Indonesia, has suffered water sustainability andenergy sustainability problems since the reservoir management used simple-operator judged waterinflow forecasting method. In this paper, an ANN and Fuzzy Logic hybrid algorithm calledAdaptive Neuro-Fuzzy Inference System(ANFIS) and Thomas-Fiering model are employed to estimate water inflow to the Mrica reservoir. ANFIS performs better for long-range inflow forecasting, while Thomas-Fiering model was better for short-range forecasting.