Open AccessThe Grey Forecasting Model for the Medium-and Long-Term Load Forecasting
Author(s) -
Fang Song,
Junxu Liu,
Tingting Zhang,
Jing Guo,
Shuran Tian,
Dang Xiong
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1654/1/012104
Subject(s) - term (time) , power grid , computer science , probabilistic forecasting , grid , electric power system , power (physics) , econometrics , reliability engineering , artificial intelligence , mathematics , engineering , physics , geometry , quantum mechanics , probabilistic logic
Load forecasting plays a particularly significant role in the stable operation of grid and the reasonable distribution of power resources. Based on grey model theory, this paper carries out load forecast of power system. In this paper, the grey model theory is used to realize the medium and long-term load forecasting, and the accuracy of the model to the load forecasting is tested by using the posterior difference method. Finally, an example is given to check the method’s practicability.