Thermal power generation fault diagnosis and prediction model based on deep learning and multimedia systems

2018 ◽  
Vol 78 (4) ◽  
pp. 4673-4692
Author(s):  
Fei Chen ◽  
Zhongguang Fu ◽  
Ling Zhen
Keyword(s):  
Power Generation ◽  
Deep Learning ◽  
Fault Diagnosis ◽  
Prediction Model ◽  
Thermal Power ◽  
Multimedia Systems ◽  
Model Based ◽  
Thermal Power Generation

scholarly journals Prediction Model of Photo-thermal Power Generation Based on G (1,1) Optimization

2018 ◽  
Vol 246 ◽  
pp. 02057
Author(s):  
Yuan WANG ◽  
Gaojia LI ◽  
Wenhao YUE
Keyword(s):  
Power Generation ◽  
Solar Radiation ◽  
Prediction Model ◽  
Thermal Power ◽  
Model Parameters ◽  
Generation Model ◽  
Gray Model ◽  
Operation Process ◽  
Power Generation Equipment ◽  
Thermal Power Generation

In this paper, the photo-thermal power generation model is obtained by studying the operation process of solar radiation , light and thermal power generation equipment. By solving the gray model parameters by particle swarm optimization, a prediction model of light and heat generation based on G (1,1) optimization is proposed. In the case of example analysis, the amount of electricity generated by the solar radiation in the past few years was based on the photo-thermal power generation model, and the light and thermal power generation prediction model is used to obtain the photo-thermal power generation in the next few years. Photo-thermal power generation will provide data support for the planning of photo-thermal power generation, and it will also verify the reasonableness of the prediction model.

EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning

Energy ◽  
2020 ◽  
pp. 119692
Author(s):  
Xiaosheng Peng ◽  
Hongyu Wang ◽  
Jianxun Lang ◽  
Wenze Li ◽  
Qiyou Xu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Prediction Model ◽  
Wind Power ◽  
Numerical Weather Prediction ◽  
Weather Prediction ◽  
Power Prediction ◽  
Numerical Weather ◽  
Model Based ◽  
Wind Power Prediction

Possibility of solar thermal power generation technologies in Nigeria: Challenges and policy directions

2019 ◽  
Vol 29 ◽  
pp. 24-41 ◽  
Author(s):  
Daniel Akinyele ◽  
Olubayo Babatunde ◽  
Chukwuka Monyei ◽  
Lanre Olatomiwa ◽  
Adebunmi Okediji ◽  
...  
Keyword(s):  
Power Generation ◽  
Thermal Power ◽  
Solar Thermal ◽  
Solar Thermal Power ◽  
Thermal Power Generation ◽  
Solar Thermal Power Generation
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