A Day Ahead Prediction of Solar PV Power Output Using Ensemble Neural Network

Author:

Alquthami Thamer1,Magzoub Muntasir A.1,Osman Ahmed M.1

Affiliation:

1. King Abdulaziz University,Dept. of Electrical and Computer Eng.,Jeddah,Saudi Arabia

Publisher

IEEE

Reference19 articles.

1. Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism

2. Long-term Solar Radiation Forecasting using a Deep Learning Approach-GRUs

3. Solar forecasting methods for renewable energy integration

4. Solar radiation modelling using ANNs for different climates in China

5. Cascade and Feedforward Backpropagation Artificial Neural Network Models For Prediction of Sensory Quality of Instant Coffee Flavoured Sterilized Drink;goyal;Canadian Journal on Artificial Intelligence Machine Learning and Pattern Recognition,2011

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Photovoltaic power prediction based on optimized BP neural network;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

2. Accuracy assessment of satellite-based and reanalysis solar irradiance data for solar PV output forecasting using SARIMAX;Journal of Renewable and Sustainable Energy;2023-11-01

3. An Exploration of the Potential of Day-Ahead Photovoltaic Power Forecasting Models Using Deep Learning Neural Networks;2023 International Conference on Data Science and Network Security (ICDSNS);2023-07-28

4. A novel data gaps filling method for solar PV output forecasting;Journal of Renewable and Sustainable Energy;2023-07-01

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