Name
Abstract | ||
|---|---|---|
We proposed the prediction system of electric power generation of solar cell using neural network. Recently, the solar cell system is developing in many fields. However this system is easily to influence by the weather condition. In the practical application, it has been required the prediction of electric power generation. By this system, it is possible to make the planning of supply and the security of alternative power source. This prediction system is used neural network system and it can predict the integral power consumption, largest electric power and time-serial prediction. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11893004_50 | KES (2) |
Keywords | Field | DocType |
solar cell system,neural network,electric power generation,solar cell,integral power consumption,neural network system,time-serial prediction,largest electric power,alternative power source,prediction system,electric power | Information system,Electric power,Grid-connected photovoltaic power system,Electric generator,Telecommunications,Computer science,Electronic engineering,Solar cell,Artificial neural network,Energy consumption,Electricity generation | Conference |
Volume | ISSN | ISBN |
4252 | 0302-9743 | 3-540-46537-5 |
Citations | PageRank | References |
1 | 0.41 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masashi Kawaguchi | 1 | 24 | 14.93 |
| Sachiyoshi Ichikawa | 2 | 1 | 0.41 |
| Masaaki Okuno | 3 | 1 | 0.41 |
| Takashi Jimbo | 4 | 15 | 7.35 |
| Naohiro Ishii | 5 | 461 | 128.62 |