Proceedings of the 2016 International Conference on Engineering and Advanced Technology

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
https://doi.org/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/).

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Volume Title
Proceedings of the 2016 International Conference on Engineering and Advanced Technology
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-294-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceat-16.2017.72How to use a DOI?
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  - https://doi.org/10.2991/iceat-16.2017.72
ID  - Han2016/05
ER  -