文章基本信息

标题：Urban Saturated Power Load Analysis Based on a Novel Combined Forecasting Model
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作者：Huiru Zhao
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2015
卷号：6
期号：1
页码：69-88
DOI：10.3390/info6010069
语种：English
出版社：MDPI Publishing
摘要：Analysis of urban saturated power loads is helpful to coordinate urban power grid construction and economic social development. There are two different kinds of forecasting models: the logistic curve model focuses on the growth law of the data itself, while the multi-dimensional forecasting model considers several influencing factors as the input variables. To improve forecasting performance, a novel combined forecasting model for saturated power load analysis was proposed in this paper, which combined the above two models. Meanwhile, the weights of these two models in the combined forecasting model were optimized by employing a fruit fly optimization algorithm. Using Hubei Province as the example, the effectiveness of the proposed combined forecasting model was verified, demonstrating a higher forecasting accuracy. The analysis result shows that the power load of Hubei Province will reach saturation in 2039, and the annual maximum power load will reach about 78,630 MW. The results obtained from this proposed hybrid urban saturated power load analysis model can serve as a reference for sustainable development for urban power grids, regional economies, and society at large.
关键词：saturated power load; combined forecasting model; logistic curve model; multi-dimensional forecasting model; fruit fly optimization algorithm saturated power load ; combined forecasting model ; logistic curve model ; multi-dimensional forecasting model ; fruit fly optimization algorithm