E3S Web Conf.
Volume 300, 20212021 2nd International Conference on Energy, Power and Environmental System Engineering (ICEPESE2021)
|Number of page(s)||5|
|Section||Energy and Power Engineering|
|Published online||06 August 2021|
Multidimensional forecasting of electricity sales in Hunan Province based on decomposition-integration ideas
State Grid Hunan Electric Power Company Limited Economic & Technical Research Institute, Changsha 410004, China
2 Hunan Key Laboratory of Energy Internet Supply-demand and Operation, Changsha 410004, China
* Corresponding author: email@example.com
As the focus of power companies such as State Grid Corporation of China, electricity sales forecasting is closely related to the development of enterprises and the country. The importance of accurate electricity sales forecasting in the context of electricity reform has become more and more prominent. The article takes electricity sales in Hunan Province as the research object, and constructs a more complete monthly electricity sales forecasting system based on the decomposition-integration idea, correlating electricity sales impact factors, and combining quantitative and qualitative analyses by categories. The prediction results show that the electricity sales forecasting model proposed in this paper has a high prediction accuracy under the existing data capacity level.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.