32 search results - page 2 / 7 » Soft-computing techniques for time series forecasting |
CAEPIA
2003
Springer
13 years 10 months ago
2003
Springer
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24hour load forecasting problem. Also, based on recorded...
EATIS
2007
ACM
13 years 9 months ago
2007
ACM
Abstract-- The growth of wireless network use has greatly increased research demand. Some applications, which are contextaware, must adapt to the environment. So, information on bo...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper suggests a constructive fuzzy system modeling for time series prediction. The model proposed is based on Takagi-Sugeno system and it comprises two phases. First, a f...
ICIC
2009
Springer
13 years 12 months ago
2009
Springer
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...
FLAIRS
2004
13 years 6 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...