Power System Short-Term Load Forecasting Based on Multiple Proportions Smoothing Method
- https://doi.org/10.2991/ecae-17.2018.16How to use a DOI?
- daily load curve; short-term load forecasting; multiple proportions smoothing method
Aiming at the problem of short-term load forecasting in power system, this paper propose a load prediction method based on multiple proportions smoothing method. We perform multiple linear regression analysis and partial correlation analysis on the load with respect to the weather, and found the meteorological factors that are highly correlated with the power load. Then, we establish a primary power system short-term load forecasting model by using the ratio multiplication smoothing method.
- © 2018, 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 - Ye Tang PY - 2017/12 DA - 2017/12 TI - Power System Short-Term Load Forecasting Based on Multiple Proportions Smoothing Method BT - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017) PB - Atlantis Press SP - 77 EP - 78 SN - 2352-5401 UR - https://doi.org/10.2991/ecae-17.2018.16 DO - https://doi.org/10.2991/ecae-17.2018.16 ID - Tang2017/12 ER -