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Improving Wind Farm Preconstruction and Short-Term Energy Production Forecasting Using Field Data, Large Eddy Simulation and Artificial Neural Networks

机译：利用现场数据，大涡模拟和人工神经网络改善风电场的预建和短期能源产量预测

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作者
Nielson, Jordan.;
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作者单位

The University of Texas at San Antonio.;

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授予单位 The University of Texas at San Antonio.;
学科
学位 Ph.D.
年度 2019
页码 175 p.
总页数 175
原文格式 PDF
正文语种 eng
中图分类
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入库时间 2022-08-17 12:00:18

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1. Performance Improvement of Artificial Neural Network Model in Short-term Forecasting of Wind Farm Power Output [J] . Sergio Velázquez Medina, Ulises Portero Ajenjo Journal of Modern Power Systems and Clean Energy . 2020,第3期

机译：人工神经网络模型在风电场发电量短期预测中的性能改进
2. Performance Improvement of Artificial Neural Network Model in Short-term Forecasting of Wind Farm Power Output [J] . Sergio Velázquez Medina, Ulises Portero Ajenjo 现代电力系统与清洁能源学报(英文) . 2020,第003期

机译：人工神经网络模型在风电场发电量短期预测中的性能改进
3. Forecasting wind power in the Mai Liao Wind Farm based on the multi-layer perceptron artificial neural network model with improved simplified swarm optimization [J] . Wei-Chang Yeh, Yuan-Ming Yeh, Po-Chun Chang, International Journal of Electrical Power & Energy Systems . 2014,第Feba期

机译：基于多层感知器人工神经网络模型的改进简化群优化算法在麦辽风电场风能预测中的应用
4. Short-Term Wind Power Forecast for Wind Farm Base on Artificial Neural Network [C] . Feiyan Wu, Xianwen Liao 2017 International Conference on Computer Technology, Electronics and Communication . 2017

机译：基于人工神经网络的风电场短期风电预测
5. Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Multivariable Inputs [D] . Buitrago, Jaime H. 2017

机译：使用带有外源多变量输入的非线性自回归人工神经网络进行电力负荷的短期预测
6. Ensemble Nonlinear Autoregressive Exogenous Artificial Neural Networks for Short-Term Wind Speed and Power Forecasting [O] . Zhongxian Men, Eugene Yee, Fue-Sang Lien, 2014

机译：集成非线性自回归外生人工神经网络进行短期风速和功率预测
7. Performance Improvement of Artificial Neural Network Model in Short-term Forecasting of Wind Farm Power Output [O] . Sergio Velazquez Medina, Ulises Portero Ajenjo 2020

机译：风电场输出短期预测中人工神经网络模型的性能改进

Improving Wind Farm Preconstruction and Short-Term Energy Production Forecasting Using Field Data, Large Eddy Simulation and Artificial Neural Networks

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