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Power is important to modern society and national economy. To forecast short-term load more accurately, phase space of the complex nonlinear system was reestablished according to chaos theory and properties of short-term load were analyzed. It proves that forecasting short-term load is a classic decision-making process, full of chaos. Combining with chaos theory and traditional BP network, an improved...
The ant colony algorithm also named ACO method, Artificial ants have memory function, it in the process of movement through a pheromone path to release, finally found a road from their nests to food source through the shortest, called the catalytic processes of ants, which is a positive feedback mechanism, it has good robustness, fast convergence speed, easy to get the global optimal solution. Based...
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"...
Analysis of regional power demand cycle is the foundation of researching the national power demand cycle. Firstly the growth rate data of power demand in China from 1994 to 2005 is dealt with the H-P filter, and the periodicity factors of the nation and provinces power demand are obtained. Secondly the periodicity factors of the provinces power demand are treated with cluster analysis, and the problem...
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