In terms of the present short-term load forecasting(STLF) methods, whether the linear or the nonlinear, neither could meet the STLF requirements better with the rapid developments of electrical power systems and electrical power markets, and so a novel STLF method was proposed based on fractal theory in this paper. Firstly, the paper investigated the fractal characteristics of power system load...

Compressor reliability and durability testing has historically required significant time and a variety oftest methods, including basic materials and lubricants testing using Falex test methods or equivalent, long term compressor bench tests, end product reliability tests and final field trials before production release. Reducing the total design cycle time to a minimum, while maintaining a high...

The application of real-time precise point positioning (PPP) requires real-time precise orbit and clock products that should be predicted within a short time to compensate for the communication delay or data gap. Unlike orbit correction, clock correction is difficult to model and predict. The widely used linear model hardly fits long periodic trends with a small data set and exhibits significan...

This paper presents the Bayesian Combined Predictor (BCP), a probabilistically motivated predictor for Short Term Load Forecasting (STLF) based on the combination of an artificial neural network (ANN) predictor and two linear regression (LR) predictors. The method is applied to STLF for the Greek Public Power Corporation dispatching center of the island of Crete, using 1994 data, and daily load...

1 Bao Rong Chang, Dept. of Electrical Engineering, Cheng Shiu Institute of Technology, Kaoshiung, Taiwan [email protected] 2 Shiou Fen Tsai, Dept. of International Trades, Kao Yuan Institute of Technology, Kaoshiung, Taiwan [email protected] Abstract  Traditional methods usually encounter the problem in which the predicted results cannot reach a satisfactory need because the overshoot...

in recent years, wind energy has a remarkable growth in the world, but one of the important problems of power generated from wind is its uncertainty and corresponding power. for solving this problem, some approaches have been presented. recently, the artificial neural networks (ann) as a heuristic method has more applications for this propose. in this paper, short-term (1 hour) and mid-term (24...

in this study, the effective factors on warpage in short fibre reinforced thermoplastic composites has been studied. first of all, the effective factors in manufacturing process were detected and then in order to decrease the number of experiments, the approach of design of experiments has been applied. by using micromechanics theory in composites and coefficients of thermal expansion models, a...