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...
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
This paper explores defects found in a high volume microprocessor when shipping at a low defect level. A brief description of the manufacturing flow along with definition of DPM i...
The Australian Bureau of Meteorology has a requirement for complex and evolving systems to manage its weather forecasting, monitoring and alerts. This paper describes an agent-bas...
Sandy Dance, Malcolm Gorman, Lin Padgham, Michael ...
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...