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Short-term load forecasting is important for electricity load planning and dispatches the loading of generating units in order to meet the electricity system demand. The precision of the load forecasting is related to electricity company's economic. This paper presents a approach named an autoregressive moving average (ARMA) cooperate with BP Artificial Neural Network (BPNN) approach, which can combine...
As the security assessment of power production is a complicated multi-attribute evaluation problem, this paper applied the gray target assessment model of gray system theory to the security assessment of power production according to the system engineering theory. And using optimization theory and Jaynepsilas maximum entropy principle a method of determining the linear combination weights based on...
GM(1,1) forecasting model has the advantages of few sample data, simple principle, easy calculation, high prediction accuracy in short terms, examination, etc. It is extensively applied in the load forecasting However, it has its localization. The greater the gray level of data is, the lower the prediction precision is. Besides, it is not suitable for long term forecasting of economy to step backwards...
Analyzing the characteristic of corporate culture of knowledge enterprise, creating evaluation index system, using fuzzy comprehensive evaluation and analytic hierarchy process to estimate the level of corporate culture, which helps to make social or temporal comparison and to tap the latent power, and to improve the management level and the ability of sustainable development.
The keys of improving the precision of daily load forecasting lie in the fore processing and the forecasting model, so this paper puts forward a new method of vary structure neural network (shorten as "VSNN") for power load forecast which is based on united data mining technology. Firstly, to search the historical daily load which have the same meteorological category as the forecasting...
The coal-fired electric power plants usually are faced with the problems of both the external diseconomy, namely its contamination to the environment, and the restriction policy from the government, and must choose most economical investment decision to meet restriction. Based on drawing out a stochastic model that contains interrelated influential factors, discussing the solving method of this model...
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