Academic Journal of Computing & Information Science, 2020, 3(4); doi: 10.25236/AJCIS.2020.030401.
Xiao Xue, Nan Zhe, Ju Song, Xu Qiangsheng, Jiang Xue
State Grid Liaoning Electric Power CO,LTD. Power Electric Research Institute, Shenyang, Liaoning110015, China
In recent years, with the rapid development of energy and power technologies such as advanced power transmission and transformation, smart grid terminal energy electrification, and the continuous integration of modern information communication and digital technology, the functional form and operation mode of the power grid have undergone profound changes. Good grid function and operation mode require high-quality, accurate and punctual power grid construction as the foundation. Therefore, the construction of power grid engineering needs to gradually shift from “rough and inefficient” to “high quality and high efficiency”, and increasingly strengthen the key nodes in the whole process of power grid construction. Management and control. Although various measures have been implemented in recent years to improve the control of power grid construction, there are still many problems.
power cost, optimization research
Xiao Xue, Nan Zhe, Ju Song, Xu Qiangsheng, Jiang Xue. Research on Intelligent Forecast Technology of Power Engineering Precision Cost. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 4: 1-10. https://doi.org/10.25236/AJCIS.2020.030401.
[1]Xie Weibin. Research on the design of power grid engineering cost information system. Hubei University of Technology, 2017.
[2] Yu Chi. Analysis of factors affecting the cost of power grid projects and evaluation models. North China Electric Power University, 2016.
[3] Yin Lina. Research on Project Cost Control System of Transmission Project. North China Electric Power University, 2011.
[4] Qiao Yanfang. Research on cost management of transmission line engineering. Tianjin University, 2012.
[5] Wang Dengke. Analysis and discussion on the whole process cost control of construction engineering projects, operation and management, 2011, 18(2): 80.
[6] Ni Lin. Cost management of power construction projects. Power and Energy, 2013.
[7] Shen Tingting, Li Bin. Improved design and simulation of complex construction project cost model. Modern Electronic Technology, 2018, 41(8): 45-48.