The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents an artificial immune system (AIS) for electricity consumption estimation as a common problem in estimation domain. We study the impact of data normalization on artificial immune system (AIS) performance and two hundred AIS are constructed for this. Also, fifty AIS have been constructed and tested in order to finding best AIS for electricity consumption estimation in each case....
In this paper the distribution of world's electricity sources is presented graphically. The contribution of renewable energy sources is focused here. The CO2 emission rate has been discussed from various aspects. A prediction model is presented for world electricity generation capacity, electricity consumption, CO2 emission rate and renewable energy harnessing. At last a brief energy prediction model...
Nowadays, many researches are made to estimate some of socio-economic variables in which methods such as regression, time series (ARIMA, AR and etc.), Artificial Neural Networks (ANN) and so on are used. In this paper integrated System Approach and ANN are applied for estimating affects of subsidy on electricity consumption and social welfare. Actual electricity price is estimated by ANN, which has...
Electricity industry is one of the main foundations of each country. Electricity demand growth in developing countries is at its peak so that these countries play an important role in electricity consumption. Since this energy can't be stored in large quantity, forecasting consuming load is a major concern in using electricity energy. This paper has formulated electrify consumption for residential...
Accurate electricity demand forecasting is the foundation of power system operation and planning, the basic of placing development plans, business strategy and tactics of the power companies. Electricity consumption is a gray system which is impacted by economic development, industrial structure, income levels and national policies. The paper counted Inner Mongolia electricity data from four factors,...
Based on modeling of energy consumption of cell phones and landlines and an optimal scheme of phone services, we analyze the different levels of electricity consumption resulting from different recharging modes of cell phones. Numerical results show a horrendous waste of energy caused by the wasteful recharging modes. We also expand our model for modeling of all commonly used household electrical...
Few scholars disagrees that electricity consumption is an important supporting factor for economy growth. However, the relationship between electricity consumption and economy growth has different manifestation in different country according to previous studies. In order to probe it, based on the time series of GDP and electricity consumption of China, the cointegration test is carried out in this...
This paper researches on a generating scheduling model which is based on the supply function and aims to maximize the social surplus. It's divided into two situations to conduct a study. One studies the electricity transmission scheduling model without the consideration of transmission constraints and presents the model algorithm, and then we can get the unified clearing market prices, the electricity...
With the rapid growth of the national economy, the electricity supply presents severe shortage, which directly affects the economic development and the normal life of people. Electricity supply has become a restricting factor on sustainable development of national economy. According to the recent situation of electricity demand, this paper uses time series analysis on its consumer to do scientific...
This paper attempts to investigate the relationship between power plant investment, electricity production and economic growth in China, and forecasts at least 5 years, using modern econometrics techniques and software for the period 1980-2009. The paper applies unit root test, Johansen cointegration test and vector error correction model for the past 30 years data, which include GDP, power industry...
Using a new prediction model based on rough set theory, we investigate the impacts of the internal structure of GDP on the electricity consumption with annual data over the period 1980~2004 in China. The new prediction model is established by presenting a related relation prediction method according to the concept of objects, information entropy, and rules in rough set theory. The empirical results...
In the paper, we investigate the vector error correction model considering co-feature. The identification procedure and algorithms are overviewed briefly in line with (Hecq. A., 2004). Then a simple case study for electricity consumption and economic growth in China is given for model comparison. It is found that model considering co-feature can potentially improve the model estimation efficiency.
This study presents an integrated fuzzy regression, computer simulation and time series framework to estimate and predict electricity demand for seasonal and monthly changes in electricity consumption especially in developing countries such as China and Iran with non-stationary data. Furthermore, it is difficult to model uncertain behavior of energy consumption with only conventional fuzzy regression...
This paper focuses on establishing the electricity consumption-forecasting model based on the gene expression programming that was brought forward by a Portuguese researcher, named Ferreira C. in 2001. The result demonstrates that the methodology that can overcome barriers such as: limited data, complex calculating process, is feasible and effective with higher accuracy.
In order to better grasp the electricity consumption in final energy, this paper studies the index system of electricity market capacity evaluation in final energy based on combination weight, then builds the evaluation model with TOPSIS method and forecasts the results based on grey system. Finally, the reliability and practicality of the model is proved through an instance.
Electricity sales price is an important economic lever of power market. The accurate analysis of relationship between the electricity consumption and sales price has become a crucial role on the rational adjustment of sales price. Thus, the analysis method of relationship between the electricity consumption and sales price is proposed based on the panel co-integration in this paper. By using simultaneously...
Economic development is faced with the challenge of global financial crisis currently, and power economy is affected inevitably. To quantitatively evaluate the impact of financial crisis on power economy, a power economy simulation model of econometric model is proposed in this paper, and a dynamic simulation platform based on the proposed model named dynamic power economy simulation system (DPESS)...
The nexus between electricity consumption and economic activities in China is investigated within a multivariate framework which includes electricity consumption, GDP per capita, heavy industry share, and efficiency improvement. The cointegration estimation results show that there is a long-run equilibrium between electricity consumption and the three other variables. The error correction term of...
This paper applies the cointegration theory to examine the long-run equilibrium relationship between China's power consumption and real GDP, electricity retail price, economic structure from 1978 to 2006. Our estimation results indicate that the real GDP, electricity sale price, economic structure are co- integrated and the long-run, income elasticity is 0.85,the long-run electricity price elasticity...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.