Analysis and Research on the Development Trends of Electric Power Technology
DOI:
https://doi.org/10.53469/jtpes.2024.04(01).03Keywords:
Electric power technology, The status quo, Development trendAbstract
After decades of reform and opening up, China's development structure is constantly upgrading, and the quality of development is also constantly improving. As one of the main sources of clean energy, electric energy plays a vital role in people's production and life. Therefore, how to better serve all aspects of the society with power production technology is the current development must pay attention to the topic. This paper focuses on the analysis of the current situation of electric power production technology and its future development trend. Therefore, under the circumstances that logistics resources are limited and logistics activities are increasingly dependent on the market and industrial structure, Henan Province should scientifically plan and rationally allocate and use logistics resources in implementation of "One Belt, One Road" strategy to achieve the best input and output, improve the overall efficiency and level of logistics; vigorously develop local economy from the perspective of system coordination, realize coordination among logistics enterprises, logistics industry coordination, as well as inter-industry coordination and regional coordination.
References
ZOU Haoran. Application of Electric Power Technology in Power Dispatching Operation [J]. Science & Technology Wind,2019(36):184.
LU Shan, MENG Qingbo. Status Quo and Development of relay protection Technology in Power System [J]. Science and Technology Wind,2019(36):186.
WANG Tianzong. Research on Reliability Development of Power Engineering Technology of Distribution Network [J]. Small and medium-sized Enterprise Management and Technology (next issue),2019(12):183-184.
ZHANG Chunbao. Application Analysis of Smart Grid Technology in Electric Power Engineering [J]. Housing and Real Estate,2019(36):179-180.]
LI Bin. On the Advantages and Applications of Power Transmission and Distribution Engineering Automation [J]. Science & Technology Economics Guide,2019,27(36):54.
HUANG Zhuo. Discussion on the Application and Development Direction of Electric Automation Technology in Power System [J]. Science and Technology Innovation,2019(35):165-166.]
He, S.Y., 2013. Stochastic Processes. Beijing, Peking University Press.
Li S.P., Liu K.H., 2003. Optimized Dynamic Exponential Smoothing Model and Its Applications. Journal of Systems Engineering, vol. 18, pp.163-167.
Liu J.K., Wang G.S., 2012. Applied Stochastic Processes. Beijing, Science Press.
Mu H.L., Wang W.C., Ning Y.D., Li G., 2011. Study of Energy Consumption Prediction Based on Improved Grey Model. Journal of Dalian University of Technology, vol. 51, pp.493-497.
Sheng Z., Xie S.Q., Pan C.Y., 2013. Probability Theory and Mathematical Statistics. Beijing, Higher Education Press.
Xu D.J., 2013. A Further Study on the Exponential Smoothing Estimation Method for Parameters of Forecasting Model and Its Application. Systems Engineering-Theory & Practice, vol. 2, pp. 25-30.
Yang S.M., Guo J.S., Dong X.L., 2012. Combination Prediction Method for Aerial Spare Parts Based on LSSVM and Entropy. Fire Control & Command Control, vol. 37, pp. 154-157.
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Copyright (c) 2024 Shufan Zhu, Rongyan Zhu
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
