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Short term wind power forcasting using adaptive neuro-fuzzy inference systems

机译:使用自适应神经模糊推理系统的短期风电预测

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摘要

As the global political will to address climate change gains momentum, the issues associated with integrating an increasing penetration of wind power into power systems need to be addressed. This paper summarises the current trends in wind power and how it is accepted into electricity markets. The need for accurate short term wind power forecasting is highlighted with particular reference to the five minute dispatch interval for the proposed Australian Wind Energy Forecasting System. Results from a case study show that adaptive neuro-fuzzy inference system (ANFIS) models can be a useful tool for short term wind power forecasting providing a performance improvement over the industry standard "persistence" approach.
机译:随着解决气候变化的全球政治意愿得到发展,与风电日益普及到电力系统的整合相关的问题必须得到解决。本文总结了风能的当前趋势以及如何将其纳入电力市场。强调了对准确的短期风电功率预测的需求,特别是参考了拟议的澳大利亚风能预测系统的五分钟调度间隔。案例研究的结果表明,自适应神经模糊推理系统(ANFIS)模型可以用作短期风能预测的有用工具,与行业标准的“持久性”方法相比,其性能有所提高。

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