研究论文
Short-term multi-hour ahead country-wide wind power prediction for Germany using gated recurrent unit deep learning
Farah Shahid, Wood David A., Nisar Humaira, Aneela Zameer, Steffen Eger
Pakistan Institute of Engineering and Applied Sciences University of Agriculture Faisalabad Universiti Tunku Abdul Rahman Technische Universität Darmstadt
来源Renewable and Sustainable Energy Reviews
年份2022
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工程Energy Load and Power Forecasting
Solar Radiation and Photovoltaics · Stock Market Forecasting Methods
参考文献 54
Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison
被引 173Carlos D. Zuluaga, Mauricio A. Álvarez, Eduardo Giraldo · Applied Energy · 2015
Learning long-term dependencies with recurrent neural networks
被引 52Anton Maximilian Schaefer, Steffen Udluft, Hans-Georg Zimmermann · Neurocomputing · 2008
Wind speed prediction using reduced support vector machines with feature selection
被引 172Xiaobing Kong, Xiangjie Liu, Ruifeng Shi · Neurocomputing · 2015
此处列出前 3 条
引用本文 149
Energy consumption and carbon emissions forecasting for industrial processes: Status, challenges and perspectives
被引 167Yusha Hu, Yi Man · Renewable and Sustainable Energy Reviews · 2023
Short-term wind power prediction based on two-layer decomposition and BiTCN-BiLSTM-attention model
被引 151Dongdong Zhang, Baian Chen, Hongyu Zhu · Energy · 2023
Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
被引 128Van Nhanh Nguyen, WIESŁAW TAREŁKO, Prabhakar Sharma · Energy & Fuels · 2024
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