Photovoltaic Power Prediction Model Based on Parallel Neural Network and Genetic Algorithms

2017 ◽  
pp. 99-110
Author(s):  
Gaowei Xu ◽  
Min Liu
Keyword(s):  
Neural Network ◽  
Genetic Algorithms ◽  
Prediction Model ◽  
Power Prediction ◽  
Model Based ◽  
Photovoltaic Power

scholarly journals A Short-Term Photovoltaic Power Prediction Model Based on an FOS-ELM Algorithm

2017 ◽  
Vol 7 (4) ◽  
pp. 423 ◽  
Author(s):  
Jidong Wang ◽  
Ran Ran ◽  
Yue Zhou
Keyword(s):  
Prediction Model ◽  
Power Prediction ◽  
Short Term ◽  
Model Based ◽  
Photovoltaic Power

scholarly journals Photovoltaic Power Prediction Based on Scene Simulation Knowledge Mining and Adaptive Neural Network

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Dongxiao Niu ◽  
Yanan Wei ◽  
Yanchao Chen
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Power Prediction ◽  
Adaptive Neural Network ◽  
Scene Simulation ◽  
Knowledge Mining ◽  
Photovoltaic Power ◽  
Model Combining ◽  
Neural Network Prediction ◽  
Network Prediction

Influenced by light, temperature, atmospheric pressure, and some other random factors, photovoltaic power has characteristics of volatility and intermittent. Accurately forecasting photovoltaic power can effectively improve security and stability of power grid system. The paper comprehensively analyzes influence of light intensity, day type, temperature, and season on photovoltaic power. According to the proposed scene simulation knowledge mining (SSKM) technique, the influencing factors are clustered and fused into prediction model. Combining adaptive algorithm with neural network, adaptive neural network prediction model is established. Actual numerical example verifies the effectiveness and applicability of the proposed photovoltaic power prediction model based on scene simulation knowledge mining and adaptive neural network.

Short-term Wind Power Prediction Model Based on GSA Optimized GRU Neural Network

2020 ◽  
Author(s):  
Qingyun Xie ◽  
Lianqing Song ◽  
Yongkang He ◽  
Pengju Dang
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Wind Power ◽  
Power Prediction ◽  
Short Term ◽  
Model Based ◽  
Wind Power Prediction

scholarly journals Ultra-Short-Term Photovoltaic Power Prediction Model Based on the Localized Emotion Reconstruction Emotional Neural Network

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2857 ◽  
Author(s):  
Yufei Wang ◽  
Li Zhu ◽  
Hua Xue
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Prediction Model ◽  
Prediction Models ◽  
Short Term Memory ◽  
Single Step ◽  
Power Prediction ◽  
Short Term ◽  
Model Based ◽  
Emotional Neural Network

Due to the intermittency and randomness of photovoltaic (PV) power, the PV power prediction accuracy of the traditional data-driven prediction models is difficult to improve. A prediction model based on the localized emotion reconstruction emotional neural network (LERENN) is proposed, which is motivated by chaos theory and the neuropsychological theory of emotion. Firstly, the chaotic nonlinear dynamics approach is used to draw the hidden characteristics of PV power time series, and the single-step cyclic rolling localized prediction mechanism is derived. Secondly, in order to establish the correlation between the prediction model and the specific characteristics of PV power time series, the extended signal and emotional parameters are reconstructed with a relatively certain local basis. Finally, the proposed prediction model is trained and tested for single-step and three-step prediction using the actual measured data. Compared with the prediction model based on the long short-term memory (LSTM) neural network, limbic-based artificial emotional neural network (LiAENN), the back propagation neural network (BPNN), and the persistence model (PM), numerical results show that the proposed prediction model achieves better accuracy and better detection of ramp events for different weather conditions when only using PV power data.

scholarly journals Study on short-term photovoltaic power prediction model based on the Stacking ensemble learning

2020 ◽  
Vol 6 ◽  
pp. 1424-1431
Author(s):  
Xifeng Guo ◽  
Ye Gao ◽  
Di Zheng ◽  
Yi Ning ◽  
Qiannan Zhao
Keyword(s):  
Prediction Model ◽  
Ensemble Learning ◽  
Power Prediction ◽  
Short Term ◽  
Model Based ◽  
Photovoltaic Power

Photovoltaic Power Prediction Model Based on Weather Forecast

2019 ◽  
Author(s):  
Wei Huang ◽  
Chao Zhang ◽  
Xinhe Zhang ◽  
Junxia Meng ◽  
Xiaohua Liu ◽  
...  
Keyword(s):  
Prediction Model ◽  
Weather Forecast ◽  
Power Prediction ◽  
Model Based ◽  
Photovoltaic Power
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