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ISNN
2005
Springer
14 years 1 months ago
Application of Neural Networks for Very Short-Term Load Forecasting in Power Systems
Load forecasting has become in recent years one of the major areas of research in electrical engineering. In a deregulated, competitive power market, utilities tend to maintain the...
Hungcheng Chen, Kuohua Huang, Lungyi Chang
ENGL
2007
204views more  ENGL 2007»
13 years 7 months ago
Long-Term Prediction, Chaos and Artificial Neural Networks. Where is the Meeting Point?
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
Pilar Gómez-Gil
ICCS
2001
Springer
14 years 3 days ago
On the Predictability of Rainfall in Kerala An Application of ABF Neural Network
Abstract. Rainfall in Kerala State, the southern part of Indian Peninsula in particular is caused by the two monsoons and the two cyclones every year. In general, climate and rainf...
Ninan Sajeeth Philip, K. Babu Joseph
ESWA
2010
118views more  ESWA 2010»
13 years 6 months ago
Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
Chi-Jie Lu
ITNG
2010
IEEE
14 years 23 days ago
A Forecasting Capability Study of Empirical Mode Decomposition for the Arrival Time of a Parallel Batch System
This paper demonstrates the feasibility and potential of applying empirical mode decomposition (EMD) to forecast the arrival time behaviors in a parallel batch system. An analysis...
Linh Ngo, Amy W. Apon, Doug Hoffman