Name
Title | ||
|---|---|---|
Data-Driven Photovoltaic Generation Forecasting Based on a Bayesian Network With Spatial-Temporal Correlation Analysis. |
Abstract | ||
|---|---|---|
Spatiotemporal analysis has been recognized as one of the most promising techniques to improve the accuracy of photovoltaic (PV) generation forecasts. In recent years, PV generation data of a number of PV systems distributed in a geographical locale have become increasingly available. This paper conducts a thorough investigation of the spatial-temporal correlation amongst PV generation data of dis... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TII.2019.2925018 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Correlation,Predictive models,Forecasting,Measurement,Time series analysis,Data models,Weather forecasting | Journal | 16 |
Issue | ISSN | Citations |
3 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruiyuan Zhang | 1 | 0 | 1.01 |
| Hui Ma | 2 | 0 | 0.34 |
| Wen Hua | 3 | 10 | 4.17 |
| Tapan Kumar Saha | 4 | 4 | 3.12 |
| Xiaofang Zhou | 5 | 5381 | 342.70 |