TY - JOUR
T1 - Investment demand forecasting model of power grid based on different development paths
AU - Yuqing, He
AU - Qin, Jiang
AU - Shujuan, Chen
AU - Yingjie, Li
AU - Xing, Zhang
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/6/15
Y1 - 2020/6/15
N2 - Under different economic and social conditions, the development of power grid faces different development foundations, development speeds, development forms, and development goals. The development path and development pattern of the power grid have many commonalities in a certain space-time range, and there are also some natural differences. In terms of analysis of the development path of power grids and the study of the quantification system, which considering the spatial and temporal differences, the research on the spatial-temporal matching of the development path characteristics of the provincial, city, county (district) level units and the prediction of the development pattern is insufficient, and it is impossible to predict the provincial, city, county (district) level. According to the development path characteristics and development forms of provincial, city, and county-level units, this paper establishes a quantitative relationship between grid investment and differential indicators of grid development paths. Based on the analysis of Hunan Province, Changsha, and Changsha County, it is proved that the power grid investment demand prediction models based on different development paths can solve the personalized demand for investment due to differences in power grid development paths, improves the analysis dimension and the level of refinement of investment demand forecasting, and it also provides a reference for forming a scientific investment decision system.
AB - Under different economic and social conditions, the development of power grid faces different development foundations, development speeds, development forms, and development goals. The development path and development pattern of the power grid have many commonalities in a certain space-time range, and there are also some natural differences. In terms of analysis of the development path of power grids and the study of the quantification system, which considering the spatial and temporal differences, the research on the spatial-temporal matching of the development path characteristics of the provincial, city, county (district) level units and the prediction of the development pattern is insufficient, and it is impossible to predict the provincial, city, county (district) level. According to the development path characteristics and development forms of provincial, city, and county-level units, this paper establishes a quantitative relationship between grid investment and differential indicators of grid development paths. Based on the analysis of Hunan Province, Changsha, and Changsha County, it is proved that the power grid investment demand prediction models based on different development paths can solve the personalized demand for investment due to differences in power grid development paths, improves the analysis dimension and the level of refinement of investment demand forecasting, and it also provides a reference for forming a scientific investment decision system.
UR - http://www.scopus.com/inward/record.url?scp=85087177033&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1550/5/052003
DO - 10.1088/1742-6596/1550/5/052003
M3 - Conference article
AN - SCOPUS:85087177033
SN - 1742-6588
VL - 1550
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 5
M1 - 052003
T2 - 2020 4th International Workshop on Advanced Algorithms and Control Engineering, IWAACE 2020
Y2 - 21 February 2020 through 23 February 2020
ER -