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The electric power industry is regarded as the basic industry of national economy, which makes it unable to get rid of the governmentpsilas regulation, as well as its own technology and economic characteristic. After reforming of regulation, government pays a good deal of attention to the performance-base regulation which has been used in telecommunication successfully and can solve the low efficiency...
Following the steady demand growth and diminishing generation capacity margin due to lack of generation investment, Slovenia is already importing almost a quarter of electricity needed to cover its demand. Coupled with the deregulated electricity market and the European Union (EU) climate change mitigation measures implemented through EU Emissions Trading Scheme (EU ETS), the economic as well as environmental...
This paper applies two methods to evaluate the economic effects of the policy of "replacing small units with large ones (RSWL)," one is Discounted Cash Flow (DCF) method which performs a technology economic analysis both from the financial and the economic perspectives, the other one is to use the Real Option theory to study the lagging investment problem of the big unit. Through an illustrative...
The city is playing an important role in the social economic development. The research on influencing factors, formation mechanisms and problems in the development of cities, especially the relationship between urban electric power and economy growth, is significant to make urban development strategy and complete the urban electric power planning. In this paper, based on the maximum entropy method,...
According to the low sample and multifactor impact for long-medium term power load forecasting, the grey relational grade was used in screening factors, the combined model in BP neural network and SVM was established, and the multivariate variables and history load variables were used to roll prediction. The combined predictive values are obviously better than single method. Empirical study showed...
According to the low sample and multifactor impact for long-medium term power load forecasting, the grey relational grade was used in screening factors, the combined model in BP neural network and SVM was established, and the multivariate variables and history load variables were used to roll prediction. The combined predictive values are obviously better than single method. Empirical study showed...
Wind power concession refers to the way of selection of the owner of concession - the concessionaire by bidding, which is mainly carried out by local government with wind resources or its authorized company to delimit a wind resource district with commercial development value. In this paper, strong supporting degree and low effectiveness of the concrete terms of current Chinese policies, laws and...
For a long time, China's coal-based energy structure, as well as thermal-power-led power structure, has caused serious environmental pollution problems. As the proportion of Chinapsilas power source structure is not so reasonable, it receives growing attention. To achieve the emissions constraints of major pollutants till the end of Eleventh Five-Year Plan, and optimize China's power structure, the...
Power generation adequacy is critical for the reliability of electricity supply service, and therefore its investment draws much attention. This paper builds a dynamic simulation model to solve the setting of two key parameters, the energy price cap and the capacity price in the generation market, and applies this model to various cases to analyze the generation capacity development. Based on the...
The building of transmission networks in electricity market may always be faced with many uncertain factors, therefore the traditional routines for transmission investment decisions could not meet the new demands of the market. This paper aims at analyzing the behaviors, characters of transmission investment and its scale economy, meanwhile, it will focus on studying the uncertainty of the transmission...
In power market, accurate electricity price forecasting can help all market participants make optimal bidding or purchasing decisions and maximize their revenue. In recent years, much attention has been focused on the short-term electricity price forecasting. Based on the theory of ARMA-GARCH model, the paper divides the constant day series into working day series and holiday series. Then the models...
By making use of the method of fuzzy cluster analysis and various data like GDP, fixed assets investment and electricity consumption of the three major industries, this paper classifies the 9 large cities of Fujian province of China similar in development into the same groups. Based on the result of fuzzy cluster analysis, the paper concludes that the general situation of power consumption affects...
The combination application of electric heat pump and storage capacity technology has simultaneously achieved two goals, of which one is energy saving and the other is improvement on electricity load characteristic. The performance of the combination system engineering is tested on site. Based on the analysis result, problems and ameliorative suggestions existed in the engineering practice are put...
Through collecting official statistics as much as possible, 2005 social accounting matrix (SAM) of China is built up. Based on the 2005SAM, the method of matrix multiplier is adopted in the analysis of the impact of electricity price adjustment on the departments of national economy and the quantification of the impact. It is revealed that the impact of multiplier on capital account (the expenditure...
There are a number of residences with low income in China that cannot afford the current electricity price. The lifeline electricity price is the price that the government set up to satisfy the basic living demand for low-income group. This paper aims at these people, the urban and rural, tries to develop a model of lifeline electricity price and consequently gives some suggestions for government.
An improved BP Neural Network with additional momentum and adaptive learning is proposed in the paper to predict the growth rate of electricity consumption in China. Matlab7 is used as modeling tool to design the model. Current year GDP growth, electric power consumption growth and growth rate of secondary industry are taken as input variables while next year electric power consumption growth is predicted...
In view of electricity customer credit evaluation lacking of precise index system and hardly quantifying subjective factors and experience factors, fuzzy expected value decision-making method modified by least squares support vector machine (LS-SVM) is presented. Firstly, electricity customer credit evaluation index system is constructed; the indices values and subjective experiences values are given...
Hazards is an objective existence that is the root cause of the accident, but it will not necessarily become an angerous source of danger, so we should carry out risk assessment. This idea will be applied to the security management of power supply enterprise, and proposed the risk evaluation index system based on the dangerous source of power supply enterprise which in accordance with the idea of...
Under a market environments, there are a lot of uncertainties, such as fluctuation of power prices, shortage of fuel supply and rising of fuel prices, which make generators encounter serious profits loss risk. For stabilizing profits, it is necessary for generators to establish an efficient and optimal risk management technique mix. By adopting the real option, this paper establishes a real option...
Electricity futures exchange is usually regarded as a valuable way to reduce price volatility of electricity market, but its risk to the equilibrium of the market is almost neglected; therefore, it is impossible to find out a workable approach to avoid the impact from supply and demand to electricity market. However, it is so important that it should not be avoided. In view of the case, this paper...
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