scholarly journals Research on the Construction Method of Intelligent Prediction and Analysis Model for the Whole Process of Power Grid Project Cost

2020 ◽  
Vol 213 ◽  
pp. 03029
Author(s):  
Zuobin Liang ◽  
Shan Gao ◽  
Qing Wang ◽  
Yong Dai ◽  
Peng Rong ◽  
...  

The government’s supervision of power grid enterprises will gradually focus on the transmission and distribution price, and the investment and income will be more strictly supervised. Under the new management requirements, the company must pay more attention to the compliance of the investment process, further strengthen the investment risk control, put an end to inefficient or invalid investment, strengthen the all-round and whole process supervision, and scientifically and accurately determine and carry out effective project cost control and management. It is the key to achieve project management objectives, and also an important measure of investment fine management and control. This paper takes historical cost data as the research object, constructs the whole process intelligent prediction and analysis model of power grid project cost, assists investment decision-making, reduces the balance rate, and improves the efficiency and efficiency of the company’s investment and lean management level.

2020 ◽  
Vol 218 ◽  
pp. 02026
Author(s):  
Yidi Wan ◽  
Wei Xie ◽  
Haihong Du ◽  
Wenming Pan ◽  
Jianqing Li ◽  
...  

in order to thoroughly implement the new energy security strategy of “four revolutions and one cooperation”, meet the requirements of power grid planning and management of energy administration, realize the strategic objectives of State Grid Corporation of China, actively respond to the severe external economic situation, alleviate the impact of policy-based price reduction, and improve the performance of internal investment management, the company needs scientific front-end decision-making, improve the efficiency of investment decision-making, scientifically determine the investment scale, structure and timing, and play a strategic leading role in investment decision-making. Through the analysis of internal and external management requirements, this paper constructs an auxiliary decision-making model of power grid investment to support the determination of investment scale, structure and time sequence, to realize the reasonable investment scale calculation of provincial companies, the calculation of investment structure of different voltage levels and the optimization of project delivery under the condition of given investment scale, which comprehensively considers the external supervision, economic development and internal management objectives, so as to assist the prior investment decision-making, improve the input-output efficiency, effectively improve the Advisory decision-making ability of investment data, and meet the company’s investment decision-making needs.


Author(s):  
Yanlun Shi ◽  
Jian Wang ◽  
Yongbo Qu ◽  
Zhihong Lang ◽  
Hongjiao Liu

 Since the reform and opening up, the national economy of our country has been developing steadily and steadily, and the overall level of urbanization and industrialization has been upgrading rapidly.Behind its growth is increasingly serious environmental problems, and environmental protection engineering as a key project of ecological environment governance, its process management level and quality are related to the balance of the entire ecological environment.If we want to further improve the overall efficiency and quality of the project and fundamentally realize the standardization and standardization of the environmental protection project, we should strengthen the whole process control and management of the environmental protection project, and promote the full coverage of the whole process control management.In view of this, this article on the importance of the whole process control management focuses on environmental protection projects, according to the actual management of risks in the process to carry on the understanding and control, and make proper treatment, to strengthen risk management and process control of environmental engineering[1].


Author(s):  
Galina Shevchenko ◽  
Leonas Ustinovichius

The paper investigates the investment decision–making, risk assessment and management problems faced by all participants of the investment process in construction. The main object of paper – risk of investment projects in construction. Companies often have to make investment decisions under uncertainty and therefore the study emphasizes the need, for carryng out investigations, developing metodology and intelectual decision making system that would holistically assess the whole available information to the investment project, increase the accuracy of risk assessment, improve project information management, reduce project risk factors for the occurrence of potential and would make informed investment decisions. The created and described verbal analysis method of the real alternatyve classification was integrated into the proposed model and implemented in practice.


Risks ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 4
Author(s):  
Jaime Alberto Vásquez ◽  
John Willmer Escobar ◽  
Diego Fernando Manotas

This paper presents a methodology for making decisions in the stock market using the AHP-TOPSIS multi-criteria technique. The problem is related to the stock market’s investment process considering the criteria of liquidity, risk, and profitability. The proposed methodology includes integrating economic and financial theories of investment in equity portfolios with the AHP-TOPSIS multi-criteria technique, which allows for evaluating a finite number of alternatives hierarchically under qualitative and quantitative criteria. The methodology has been tested in a real case of selecting a portfolio of high and medium marketability stocks for the Colombian market from April 2012 to April 2017. The computational results show the importance and efficiency of successfully integrating traditional equity portfolio investment criteria and multi-criteria methodologies to find an appropriate balance between profitability and risk in the investment decision-making process in shares in the Colombian stock market. The proposed methodology could be applied to other emerging markets, similar to Colombia.


2021 ◽  
Vol 236 ◽  
pp. 01009
Author(s):  
Jianqing Li ◽  
Wei Xie ◽  
Haihong Du ◽  
Wenming Pan ◽  
Xiaohu Zhu ◽  
...  

Under the strategic goal of "an international leading energy Internet enterprise with Chinese characteristics", in the face of severe domestic and international economic situation, power grid companies actively fulfill their social responsibilities and invest in key industrial chains. Based on the input-output method, using the latest input-output data of 42 industries, this paper constructs the quantitative relationship between investment and GDP increment, investment and employment added value, and carries out quantitative analysis on the pulling effect of investment on the economy of various industries and the role of employment growth, so as to provide quantitative reference for power grid investment decision-making and social responsibility performance.


2019 ◽  
Vol 8 (2) ◽  
pp. 1401-1411

Investment is the commitment of funds, which have been saved from current consumption with in this hope that some benefits will be received in future. Based on the factors such as Demographic factors, Socio-Economic Background, Life Style, etc.., a lot of investment avenues will be available to the investors for parking their idle funds. Generally the initial step in the Investment process is understanding the objectives of Investment and framing out the investment policy. This may rely on investor’s perception. In this study an attempt has been made to find out the investors perception in primary and popular investment avenues in Kurnool District of Andhra Pradesh. From the respondents all Demographic variables and investors objectives have been collected and computing the relationship between these variables and objectives of the investment. Furthermore the study also finds the investor’s investment decision making behaviours in their investment avenues.


2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Yanlun Shi ◽  
Jian Wang ◽  
Yongbo Qu ◽  
Zhihong Lang ◽  
Hongjiao Liu

 Since the reform and opening up, the national economy of our country has been developing steadily and steadily, and the overall level of urbanization and industrialization has been upgrading rapidly.Behind its growth is increasingly serious environmental problems, and environmental protection engineering as a key project of ecological environment governance, its process management level and quality are related to the balance of the entire ecological environment.If we want to further improve the overall efficiency and quality of the project and fundamentally realize the standardization and standardization of the environmental protection project, we should strengthen the whole process control and management of the environmental protection project, and promote the full coverage of the whole process control management.In view of this, this article on the importance of the whole process control management focuses on environmental protection projects, according to the actual management of risks in the process to carry on the understanding and control, and make proper treatment, to strengthen risk management and process control of environmental engineering[1].


Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1553 ◽  
Author(s):  
Mahmood Shafiee ◽  
Adel Alghamdi ◽  
Chris Sansom ◽  
Phil Hart ◽  
Adriana Encinas-Oropesa

This research paper aims to propose a through-life cost analysis model for estimating the profitability of renewable concentrated solar power (CSP) technologies. The financial outputs of the model include net present value (NPV) and benefit-cost ratio (BCR) of the project, internal rate of return (IRR) and discounted payback period (DPBP) of the investment, and levelized cost of energy (LCoE) from the CSP technology. The meteorological data for a specific location in the city of Tucson in Arizona is collected from a network of automated weather stations, and the NREL System Advisor Model (SAM) is applied to simulate hourly energy output of the CSP plant. An Excel spreadsheet tool is designed to calculate, in a bottom-up approach, the financial metrics required for approval of CSP projects. The model is tested on a 50 MW parabolic trough CSP plant and the results show an annual energy production of 456,351,232 kWh, NPV of over $64 million and LCoE of 0.16 $/kWh. Finally, a sensitivity analysis is performed to identify the factors which have the most significant effect on the economic performance of CSP technologies. The proposed model can provide valuable guidance to support the strategic planning and investment decision-making in CSP projects.


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