Study on the Relationship between Meteorological Factors and Power Load

DOI

10.2991/amcce-17.2017.24How to use a DOI?

Keywords

regression analysis, power load

Abstract

In this paper, a multiple linear regression model was established, and the regression equations were established for daily maximum load, daily minimum load, daily average load and each meteorological factor. Next, the parameters of the model estimation, statistical estimation and hypothesis testing. According to the results, six regressions were obtained. According to the results of F test, T test and multiple correlation coefficient R, the significant results of each equation were obtained. The significant results and fitting of the meteorological factors to the load indexes Goodness. According to the data, the regression error analysis is carried out, and the meteorological factors which can improve the precision of load forecasting are put forward.

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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TY  - CONF
AU  - ChenChen Huang
PY  - 2017/03
DA  - 2017/03
TI  - Study on the Relationship between Meteorological Factors and Power Load
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 140
EP  - 142
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.24
DO  - 10.2991/amcce-17.2017.24
ID  - Huang2017/03
ER  -