A comparison of various forecasting techniques applied to mean hourly wind speed time series

A. Sfetsos

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A comparison of various forecasting techniques applied to mean hourly wind speed time series

机译：应用于平均风速时间序列的各种预测技术的比较

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This paper presents a comparison of various forecasting approaches, using time series analysis, on mean hourly wind speed data. In addition to the traditional linear (ARMA) models and the commonly used feed forward and recurrent neural networks, other approaches are also examined including the Adaptive Neuro-Fuzzy Inference Systerms (ANFIS) and Neural Logic Networks. The developed models are evaluated for their ability to produce accurate and fast froecasts.

机译：本文对使用平均时间风速数据进行时间序列分析的各种预测方法进行了比较。除了传统的线性（ARMA）模型和常用的前馈和递归神经网络之外，还研究了其他方法，包括自适应神经模糊推理系统（ANFIS）和神经逻辑网络。对开发的模型进行评估，以产生准确而快速的片段。

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《Renewable energy》 |2000年第1期|p.23-35|共13页
作者
A. Sfetsos;
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作者单位

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类能源与动力工程;
关键词
Wind speed; Time series; Forecasting; Neural networks;

机译：风速;时间序列;预测;神经网络;

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专利

1. A New Hybrid Forecasting Strategy Applied to Mean Hourly Wind Speed Time Series [J] . Stylianos Sp.Pappas, Dimitrios Ch.Karamousantas, George E.Chatzarakis, Journal of Wind Energy . 2014,第3期

机译：一种适用于平均小时风速时间序列的新混合预测策略
2. Modeling And Forecasting The Mean Hourly Wind Speed Time Series Using Gmdh-based Abductive Networks [J] . R.E. Abdel-Aal, M.A. Elhadidy, S.M. Shaahid Renewable energy . 2009,第7期

机译：使用基于Gmdh的归纳网络对平均小时风速时间序列进行建模和预测
3. A novel approach for the forecasting of mean hourly wind speed time series [J] . A. Sfetsos Renewable energy . 2002,第2期

机译：预测平均每小时风速时间序列的新方法
4. Adaptive Forecasting Techniques Applied to Short Time Wind Speed Forecasting [C] . Stylianos Sp. Pappas International Conference on Control, Artificial Intelligence, Robotics Optimization . 2019

机译：自适应预报技术在短时风速预报中的应用
5. Forecasting Wind Turbine Failures and Associated Costs: Investigating Failure Causes, Effects and Criticalities, Modeling Reliability and Predicting Time-to-Failure, Time-to-Repair and Cost of Failures for Wind Turbines Using Reliability Methods and Machine Learning Techniques [D] . Ozturk, Samet 2019

机译：预测风力涡轮机故障和相关成本：调查故障原因，影响和严重性，建模可靠性并使用可靠性方法和机器学习技术预测风力涡轮机的故障时间，维修时间和故障成本
6. CO and CO2 daily time series and time series of wind speed [O] . Changgong Shan, Wei Wang 2019

机译：CO和CO2每日时间序列和风速时间序列
7. Stochastic Generation Of Hourly Wind Speed Time Series. [O] . A Shamshad, W. M. A. Wan Hussin, M. A. Bawadi, 2003

机译：每小时风速时间序列的随机生成。

A comparison of various forecasting techniques applied to mean hourly wind speed time series

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