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The wavelet neural network has been widely used as a new load forecasting method. This paper has analyzed wavelet neural network which consists with wavelet and artificial neural network. Summarize historical load data to fine the long-term variation, gain the empirical knowledge from professionals, and form a series of rules to simulate a human expert reasoning and judging process, which is the expert...
According to the characteristics of power plant construction projects, build a project post evaluation system and determine the standard value. Propose the fuzzy comprehensive evaluation model to post-evaluate the success degree of power plant construction project; use relative membership degree to fuzzy-process the success degree index value and evaluation criteria. Finally, carry out the post evaluation...
From the practical application of short-term load forecasting, this article introduced the radial basis function network and use nearest neighbor clustering algorithm to determine the width of radial basis function, select the cluster centers and weights. The predicted results show that the method is faster and has higher precision.
Factor analysis and principal component analysis are commonly used in multivariate statistical analysis. This paper has shown similarities and differences of principal component analysis and factor analysis in mathematical model and solution procedure. And we select some important indexes of Chinese cities comprehensive competitiveness, use economics software SPSS to carry on the principal component...
This paper establishes an index system for environment effects of power transformation project and fuzzy AHP model. Science and rationality of the fuzzy AHP model has been demonstrated through evaluating a 220 kV power transformation project in Jilin Province.
In order to more precisely control the development of circular economy in Liaoning Province as one of the circular economy pilot, this paper establishes a set of index system to describe the object of evaluation from the following five aspects. First processing data of the nearly five years to ensure authenticity and availability, and then evaluating from five aspects followed by analyzing according...
The fundamental purpose of establishing the supply chain is to gain competitive advantage and get profit. The key to this is the effective cooperation of the independent enterprises. This paper studies the internal mechanism of the benefit distribution in the supply chain from the view of theory, and describes the principle and distribution model of it. Then, in order to achieve the stability and...
In power generating industry, load forecasting plays an important part. In oder to improve the economic and social benefits, and to help the decision of construction of generating plant, the forecasting of electric demand is necessary. According to the actual situation and method of grey theory, and by using the grey model, we try to found out the electricity consumption of the the next 5 years.
The construction period of large projects is usually quite long, so only assessing the final effects is far from enough. This brings up the study of the dynamic effectiveness evaluation of project management. Introducing the theory of dynamic evaluation, this paper has established the dynamic effectiveness evaluation model for it. A dynamic fuzzy evaluation method is adopted to carry out to evaluate...
Regional economy is a comprehensive economic concept which is forming from the economic development internal factors and external interaction of a certain area. It is restricted by the region's natural conditions, resources development and utilization, socio-economic conditions and various factors such as economic policy. If we want to improve the living standards and development level of a certain...
In current, we must improve the energy efficiency and optimize the structure of energy in order to realize the “low-carbon economy”. The paper uses LINDO software and DEA method, studies the efficiency problems among the industrial energy, environment input and economy output in each province in china. The result shows that industrial efficiency need to be improved in many provinces except Shanghai...
Power industry is capital and technology intensive, which is also an important foundation for public utility nature of the industry. It is closely connected with many factors, such as the electricity market, capital, and technology. Better risk analysis and management in power construction investment can avoid blind investment, which guarantee power construction projects go smooth. Therefore the investment...
This paper comprehensively evaluate resources competitiveness situation of five selected power plants by establishing the resources competitiveness index system of power plant. First, the uniformization and dimensionless method of selected index system is provided. Second, weight of each index is determined by the mean square method and the columns and the inverse method, objective and subjective...
This paper deals with the power load forecasting for medium and long term using based on Principal Component Regression Analysis. The paper first reviews the research achievement of the load forecasting and its relationship with economic development, then introduces the basic theory of the principal component analysis and principal component regression analysis model. Finally, taking Beijing as an...
Accurate wind speed forecasting is essential for predicting the wind power output. The wind speed is randomness, so the forecasting is very difficult. Least squares support vector machines (LSSVM) for load forecasting requires the identification of relevant parameters by expert experiment, this paper proposed a combination of adaptive particle swarm optimization the relevant parameters of least square...
Smart grid is the latest trends and complexity problems of the whole world power system, it will realize the intelligence communication, optimization electricity production, transmission and promote the restructuring of the whole power industry. It can reduce the poor electricity generation units and continue to promote electricity generation emissions. This paper gives the electric network intelligence...
There are many drawbacks in the current electric power emergency management system, which takes plans as the center. The urgent need is to replace for the electric power emergency management mechanism as the core of emergency response system, coping with several disasters in recent years. Because of the generally poor construction of response mechanism in China's electric power companies, the establishment...
Inner Mongolia, northern China's resource-based regions, is a large province of power output. State Grid Corporation plans to construct special high-voltage transmission channels for the Autonomous Region Electric Power Delivery in Inner Mongolia. As the monopoly of power industry, the output cross-power energy trading in Inner Mongolia mainly have two ways: Point on the network and the network of...
With the changes in social economic models, organizational form, scale, development strategy, competitive strategy, market environment will change, and people are more profound and intuitive understanding that knowledge is productive. Power employees' work is in the face of the complexity, in order to achieve desired goal we must use the increasingly vast and complex knowledge and conduct more frequent...
For non-linear and gray of power load forecasting, this paper proposed a new combining forecasting model. First optimize the parameters of the GM(1, 1, ??) forecasting model with ant colony algorithm, and predict a set of load values; then predict another set of load values with Auto-regressive integrated moving average model (ARIMA). The forecasting results of ant colony gray model and ARIMA model...
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