The Regional Small Hydropower Generated Energy Forecasting Method
Authors
Shuai Han, Lijuan Qin, XiQiao Lin, Xu Yan
Corresponding Author
Shuai Han
Available Online May 2016.
- DOI
- 10.2991/iceat-16.2017.72How to use a DOI?
- Keywords
- Small hydropower station, Meteorological factor, Rainfall, Multiple regression fitting
- Abstract
To improve forecasting accuracy of the generated energy of regional small hydropower stations, it is proposed a forecasting method of regional small hydropower generation considering the cumulative effect of rainfall.In this paper, the meteorological data was classified by using decision tree firstly. Then through the in-depth analysis of the output law of small hydropower stations, the generated energy forecasting model was set up using the method of multiple regression fitting that considering the rainfall effect. Finally, the corrected model is established to correct the predicted results that considering accumulative effect of rainfall.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shuai Han AU - Lijuan Qin AU - XiQiao Lin AU - Xu Yan PY - 2016/05 DA - 2016/05 TI - The Regional Small Hydropower Generated Energy Forecasting Method BT - Proceedings of the 2016 International Conference on Engineering and Advanced Technology PB - Atlantis Press SP - 354 EP - 359 SN - 2352-5401 UR - https://doi.org/10.2991/iceat-16.2017.72 DO - 10.2991/iceat-16.2017.72 ID - Han2016/05 ER -