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Accurate electricity demand forecasting is the foundation of power system operation and planning, the basic of placing development plans, business strategy and tactics of the power companies. Electricity consumption is a gray system which is impacted by economic development, industrial structure, income levels and national policies. The paper counted Inner Mongolia electricity data from four factors,...
With recent deregulation in electricity industry, price forecasting has become the basis for this competitive market. The precision of this forecasting is essential in bidding strategies. So far, the artificial neural networks which can find an accurate relation between the historical data and the price have been used for this purpose. One major problem is that, they usually need a large number of...
Electrical load forecasting is one of the important concerns of power systems and has been studied from different views. Electrical load forecast might be performed over different time intervals of short, medium and long term. Various techniques have been proposed for short term, medium term or long term load forecasting. In this study we employ artificial neural networks (ANN) and regression (linear...
In order to achieve high quality standards in electrical power systems, utility companies rely upon load forecasting to accomplish critical activities such as optimal dynamic dispatch and smart performance in the power wholesale market. Several works propose hybrid intelligent forecasting models to deal with the dynamic and non-linear characteristics of the load at a relatively high computational...
With the deterioration of primary energy market supply, it is important to optimize the raw material buying and dispatching. The annual electric power consumption is one of the most important decision making basis to realize this. Because of the characters of observations, OLS method and neural network model are all not suit for this. PLS extract variables one by one from few historical data. Under...
Electric load forecasting on the power system operation and control plan has a very important impact, but the complexity and uncertainties of the load forecasting make the traditional single forecasting model difficult to get accurate results. To improve the accuracy of power load forecasting, this paper constructs a combined forecasting model. It synthesizes grey hierarchical model, the "S"...
The city is playing an important role in the social economic development. The research on influencing factors, formation mechanisms and problems in the development of cities, especially the relationship between urban electric power and economy growth, is significant to make urban development strategy and complete the urban electric power planning. In this paper, based on the maximum entropy method,...
GM(1,1) forecasting model has the advantages of few sample data required, 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 greater, the lower the prediction precision is. Besides, it is not suitable for long term forecasting of economy to step backwards...
System marginal price is the unified price of reflecting the short-term supply and demand relation of electric commodity in the electricity market. Confirming the system marginal price is the lever and core content of electricity market. At present, how to predict the system marginal price efficiently is one of the focus problems in the research of electricity market application. In the electricity...
Wind energy on a power system alters the unit commitment and dispatch problem, as it adds a stochastic element due to the uncertainty of wind power forecasts. By explicitly taking into account the stochastic nature of wind power, it is expected that better schedules should be produced, thereby reducing costs on the system. This paper compares a stochastically optimised unit commitment and dispatch...
Short-term load forecasting has always been the essential part of reliable and economic operation in power systems. In this paper, a hybrid neural network model combining rough set theory, principal component analysis, dynamic clustering analysis and ant colony optimization algorithm is presented. First, rough set theory is used to eliminate redundant influential factors that don't exert tremendous...
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