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Prediction of Industrial Electric Energy Consumption in Anhui Province Based on GA-BP Neural Network
| Content Provider | Scilit |
|---|---|
| Author | Zhang, Jiajing Yin, Guodong Ni, Youcong Chen, Jinlan |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science In order to improve the prediction accuracy of industrial electrical energy consumption, a prediction model of industrial electrical energy consumption was proposed based on genetic algorithm and neural network. The model use genetic algorithm to optimize the weights and thresholds of BP neural network, and the model is used to predict the energy consumption of industrial power in Anhui Province, to improve the prediction accuracy of industrial electric energy consumption in Anhui province. By comparing experiment of GA-BP prediction model and BP neural network model, the GA-BP model is more accurate with smaller number of neurons in the hidden layer. |
| Related Links | http://iopscience.iop.org/article/10.1088/1755-1315/108/5/052061/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/108/5/052061 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 5 |
| Volume Number | 108 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-01-30 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Industrial Engineering Algorithm and Neural Network Industrial Electrical Electrical Energy Anhui Province Bp Neural |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
