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North China Electric Power University Reports Findings in Environmental Pollution (Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network)

机译:华北电力大学的报告发现在环境污染(多步风速预测基于混合分解技术和改进的bp神经网络)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – New research on Environmental Pollution is the subject of a report. According to news reporting out of Hebei, People’s Republic of China, by NewsRx editors, research stated, “Accurate wind speed forecasting (WSF) not only ensures stable power system operation but also contributes to enhancing the competitiveness of wind power companies in the market. In this paper, a hybrid prediction model based on secondary decomposition algorithm (SDA) is proposed for WSF.”
机译:由一个新闻记者在网络新闻编辑每日新闻——新的研究环境污染是一份报告的主题。新闻报道了河北、人民共和国的中国,NewsRx编辑、研究说,“准确的风速预测不仅(WSF)也可以确保稳定的电力系统操作有助于增强的竞争力风力发电公司的市场。论文基于混合预测模型二次分解算法(SDA)提出了WSF。”

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