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Chinese medicine is a treasure of Chinese nation as well as a crystallization of Chinese working people's wisdom accumulated over thousands of years, Chinese medicine industry has always been a pivotal position in the pharmaceutical market in China. This paper uses the Gray correlation model based on the theory of information entropy, the method of entropy evaluation is to determine the weight. Using...
As the change of power energy structure, the electricity markets are shifting gradually from sellers markets to buyers ones. Demand side management, which is one of the most important methods for energy management, plays an important role in power operation. However, the implement of DSM is a complicated market process which should keep the market effective and fair. From the views of economics, it...
Because power loads are influenced by various factors, and the changes of power load presents are complicate, the traditional forecasting methods are always not satisfied. According to the random-increase and non-linearity fluctuation of residual series, gray neural network forecasting can reflect the increase character and non-linearity relationship. This paper using the improved ACO method as the...
According to the requirements of the State Grid Corporation's document and the local actual situation, this paper establishes the customer satisfaction evaluation indicator system. And it has carried on investigation in an area, and carried on the analysis of the investigation result. It proposes an appropriate customer satisfaction index structural equation model, and uses Amos software obtaining...
According to Traditional Grey Model (GM(1, 1)) is not accurate and the value of parameter is constant, in order to overcome these disadvantages, this paper put forward an improved genetic algorithm-GM(1, 1) (IGA-GM (1, 1)) to solve the problem of short-term load forecasting (STLF) in power system. The proposed algorithm not only improved the original series but also constructed optimal grey model...
In this paper, an Improved Ant Colony Clustering (IACC) based on Ant Colony Algorithm is presented. In IACC, each load data was represented by an ant, and the merits of IACC were parallel search optimum and the dynamic method to adjust the evaporation coefficient, which can raise the forecast accuracy. IACC used the weighted Euclidean distance, and the residual pheromone quantity was calculated by...
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