Name
Title | ||
|---|---|---|
Hybrid Multitask Multi-Information Fusion Deep Learning for Household Short-Term Load Forecasting |
Abstract | ||
|---|---|---|
With the detailed load data provided by smart meter, the learning of electricity usage behavior for individual household short-term load forecasting has become a hot research topic. The existing methods generally ignore the relation among multiple households and fail to obtain enough information from the limited household load data, resulting in accuracy reduction. To solve this problem, a novel h... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TSG.2021.3091469 | IEEE Transactions on Smart Grid |
Keywords | DocType | Volume |
Load modeling,Load forecasting,Predictive models,Forecasting,Computational modeling,Feature extraction,Deep learning | Journal | 12 |
Issue | ISSN | Citations |
6 | 1949-3053 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lianjie Jiang | 1 | 0 | 0.34 |
| Xinli Wang | 2 | 0 | 0.34 |
| Wei Li | 3 | 28 | 5.33 |
| Lei Wang | 4 | 0 | 0.34 |
| Xiaohong Yin | 5 | 0 | 0.68 |
| Lei Jia | 6 | 29 | 4.12 |