Fast Bus Load Forecasting for Smart Distribution System

DOI

10.2991/iiicec-15.2015.440How to use a DOI?

Keywords

Distribution system; Load forecasting; Historical data; Model correction

Abstract

Smart distribution network gathers massive load data with SCADA system. Bus load forecasting needs to increase the process speed while assuring the forecasting accuracy, to meet the real-time requirements. This paper proposed a fast bus load forecasting method for smart distribution system. This method utilizes the historical load and temperature data to establish a forecasting model, which derived the reference load data of the forecasting day. With temperature data of the forecasting day and the historical data, it is deduced the load correction of the forecasting day to realize online load forecasting, which increases the forecasting speed. By the instance analysis, the speediness and accuracy of the proposed method is verified.

Copyright

© 2015, 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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TY  - CONF
AU  - Yi Zhu
AU  - Binglei Xue
AU  - Zhe Xu
PY  - 2015/03
DA  - 2015/03
TI  - Fast Bus Load Forecasting for Smart Distribution System
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 2016
EP  - 2019
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.440
DO  - 10.2991/iiicec-15.2015.440
ID  - Zhu2015/03
ER  -