A Model for Micro-grid Short-term Load Forecasting Based on SR-LS-SVR
Authors
Yu-xian Zhang, Yu-bao Gao
Corresponding Author
Yu-xian Zhang
Available Online July 2019.
- DOI
- 10.2991/eee-19.2019.4How to use a DOI?
- Keywords
- Micro-grid, Net load, Short-term load forecasting, SVR
- Abstract
Considering the impact of distributed power on the net load, the short-term load forecasting model established by SR-LS-SVR from the global perspective of the distribution network. The model parameters are quickly optimized by fine-grained parallel PSO. The accuracy, robustness and efficiency of the model are verified by the Ausgrid smart grid measurement data.
- Copyright
- © 2019, 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 - Yu-xian Zhang AU - Yu-bao Gao PY - 2019/07 DA - 2019/07 TI - A Model for Micro-grid Short-term Load Forecasting Based on SR-LS-SVR BT - Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019) PB - Atlantis Press SP - 21 EP - 25 SN - 2352-5401 UR - https://doi.org/10.2991/eee-19.2019.4 DO - 10.2991/eee-19.2019.4 ID - Zhang2019/07 ER -