Study on the Relationship between Meteorological Factors and Power Load
- https://doi.org/10.2991/amcce-17.2017.24How to use a DOI?
- regression analysis, power load
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.
- © 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 - 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 - https://doi.org/10.2991/amcce-17.2017.24 ID - Huang2017/03 ER -