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Probabilistic net load forecasting based on transformer network and Gaussian process-enabled residual modeling learning method
Probabilistic net load forecasting based on transformer network and Gaussian process-enabled residual modeling learning method
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Probabilistic net load forecasting based on transformer network and Gaussian process-enabled residual modeling learning method

Hu, Jiaxiang ; Hu, Weihao ; Cao, Di ; Sun, Xinwu ; Chen, Jianjun ; Huang, Yuehui ; Chen, Zhe ; Blaabjerg, Frede

Renewable energy, 2024-05, Vol.225, Article 120253 [Periódico revisado por pares]

Elsevier Ltd

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A novel hybrid system based on multi-objective optimization for wind speed forecasting
A novel hybrid system based on multi-objective optimization for wind speed forecasting
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A novel hybrid system based on multi-objective optimization for wind speed forecasting

Wu, Chunying ; Wang, Jianzhou ; Chen, Xuejun ; Du, Pei ; Yang, Wendong

Renewable energy, 2020-02, Vol.146, p.149-165 [Periódico revisado por pares]

Elsevier Ltd

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3
Day-ahead forecasting of solar power output from photovoltaic plants in the American Southwest
Day-ahead forecasting of solar power output from photovoltaic plants in the American Southwest
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Day-ahead forecasting of solar power output from photovoltaic plants in the American Southwest

Larson, David P. ; Nonnenmacher, Lukas ; Coimbra, Carlos F.M.

Renewable energy, 2016-06, Vol.91, p.11-20 [Periódico revisado por pares]

Elsevier Ltd

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4
Current methods and advances in forecasting of wind power generation
Current methods and advances in forecasting of wind power generation
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Current methods and advances in forecasting of wind power generation

Foley, Aoife M. ; Leahy, Paul G. ; Marvuglia, Antonino ; McKeogh, Eamon J.

Renewable energy, 2012, Vol.37 (1), p.1-8 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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5
Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
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Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

Gao, Bixuan ; Huang, Xiaoqiao ; Shi, Junsheng ; Tai, Yonghang ; Zhang, Jun

Renewable energy, 2020-12, Vol.162, p.1665-1683 [Periódico revisado por pares]

Elsevier Ltd

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6
Evolving fuzzy time series for spatio-temporal forecasting in renewable energy systems
Evolving fuzzy time series for spatio-temporal forecasting in renewable energy systems
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Evolving fuzzy time series for spatio-temporal forecasting in renewable energy systems

Severiano, Carlos A. ; Silva, Petrônio Cândido de Lima e ; Weiss Cohen, Miri ; Guimarães, Frederico Gadelha

Renewable energy, 2021-06, Vol.171, p.764-783 [Periódico revisado por pares]

Elsevier Ltd

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7
Probabilistic wind power forecasting for newly-built wind farms based on multi-task Gaussian process method
Probabilistic wind power forecasting for newly-built wind farms based on multi-task Gaussian process method
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Probabilistic wind power forecasting for newly-built wind farms based on multi-task Gaussian process method

Liao, Qishu ; Cao, Di ; Chen, Zhe ; Blaabjerg, Frede ; Hu, Weihao

Renewable energy, 2023-11, Vol.217, p.119054, Article 119054 [Periódico revisado por pares]

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8
Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
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Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

Wang, Shouxiang ; Zhang, Na ; Wu, Lei ; Wang, Yamin

Renewable energy, 2016-08, Vol.94, p.629-636 [Periódico revisado por pares]

Elsevier Ltd

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9
Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation
Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation
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Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation

Gu, Bo ; Zhang, Tianren ; Meng, Hang ; Zhang, Jinhua

Renewable energy, 2021-02, Vol.164, p.687-708 [Periódico revisado por pares]

Elsevier Ltd

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10
Application of autoregressive dynamic adaptive (ARDA) model in real-time wind power forecasting
Application of autoregressive dynamic adaptive (ARDA) model in real-time wind power forecasting
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Application of autoregressive dynamic adaptive (ARDA) model in real-time wind power forecasting

Zhang, Fei ; Li, Peng-Cheng ; Gao, Lu ; Liu, Yong-Qian ; Ren, Xiao-Ying

Renewable energy, 2021-05, Vol.169, p.129-143 [Periódico revisado por pares]

Elsevier Ltd

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