| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6860838 | International Journal of Electrical Power & Energy Systems | 2012 | 9 Pages |
Abstract
⺠Two new forecasting models are proposed for electricity demand forecasting. ⺠Four error measures are used for model evaluation. ⺠An adaptive parameter learning mechanism is introduced to optimize the model. ⺠Both of the numerical and graphic results are provided to validate the model.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jianzhou Wang, Xiaolong Ma, Jie Wu, Yao Dong,