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In process industry, combination forecasting methods have been proposed to be applied to evaluate product quality. In this paper, multivariate statistical combination forecasting models based on individual forecasting methods which contain principal component regression method (PCR), partial least squares regression method (PLSR) and modified partial least squares regression method (MPLSR) are established...
Mordern electric power process is a typical complex industy course which is multivariable nonlinear,long-time delay ,time-variant and difficult to be established accurate model. So it is hard to get optimum effect when system operating with conventional control strategy.A FNN network with dynamic feature has been used to identify the coordinated control system for establishing a predictive model in...
To improve the forecasting precision of electricity consumption, and content the demand of marketing, we establish the model by combining particle swarm optimization (PSO) with the improved grey theory. The method is simple, easy to do practice and its convergence rate is quick. It can find the overall optimal solution of problems in great probability, and can effectively overcome the shortage of...
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