Missing wind data forecasting with adaptive neuro-fuzzy inference system

被引:15
作者
Hocaoglu, Fatih O. [1 ]
Oysal, Yusuf [2 ]
Kurban, Mehmet [1 ]
机构
[1] Anadolu Univ, Dept Elect & Elect Engn, Fac Engn & Architecture, TR-26555 Eskisehir, Turkey
[2] Anadolu Univ, Fac Engn & Architecture, Dept Comp Engn, TR-26555 Eskisehir, Turkey
关键词
Wind energy; Wind speed; Forecasting; Missing data; ANFIS; Back-propagation;
D O I
10.1007/s00521-008-0172-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In any region, to begin generating electricity from wind energy, it is necessary to determine the 1-year distribution characteristics of wind speed. For this aim, a wind observation station must be constructed and 1-year wind speed and direction data must be collected. For determining the distribution characteristics, the collected data must be statistically analyzed. The continuity and reliability of the data are quite important for such studies on the days when possible faults can occur in any part of the observation unit or on days when, the system is on maintenance, it is not possible to record any data. In this study, it is assumed that the station had not worked at some randomly chosen days and that for these days no data could be recorded. The missing data are predicted using the data that were recorded before and after fault or maintenance by an adaptive neuro-fuzzy inference system (ANFIS). It is seen that ANFIS is successful for such a study.
引用
收藏
页码:207 / 212
页数:6
相关论文
共 12 条
[1]  
Haykin S., 1999, NEURAL NETWORK COMPR
[2]  
HOCAOGLU FO, 2005, EVK 2005 1 EN QUAL E, P124
[3]  
HOCAOGLU FO, 2005, SOLAR PANEL CONTROL, P62
[4]  
HOCAOGLU FO, 2005, 4 TURK STAT C AN, P194
[5]   ANFIS - ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM [J].
JANG, JSR .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (03) :665-685
[6]   Renewable energy potential and utilization in Turkey [J].
Kaygusuz, K ;
Sari, A .
ENERGY CONVERSION AND MANAGEMENT, 2003, 44 (03) :459-478
[7]  
Kecman V., 2001, LEARNING SOFT COMPUT
[8]  
KURBAN M, 2006, 2004040258 AN U
[9]  
VOLKAN S, 1999, ENERGY CONVERSION MA, V40, P743
[10]   CONCEPT OF A LINGUISTIC VARIABLE AND ITS APPLICATION TO APPROXIMATE REASONING .2. [J].
ZADEH, LA .
INFORMATION SCIENCES, 1975, 8 (04) :301-357