Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

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/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
Series
Advances in Engineering Research
Publication Date
July 2019
ISBN
978-94-6252-754-6
ISSN
2352-5401
DOI
10.2991/eee-19.2019.4How to use a DOI?
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  -