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Electricity demand forecasting plays an important role in electricity systems expansion planning. In this paper, we … residual modification technique for forecasting electricity demand. Our approach helps to improve the forecasting accuracy of …
Persistent link: https://www.econbiz.de/10010808080
Electricity is an important asset that influences not only the economy, but political or social security of a country. Reliable and accurate planning and prediction of electricity demand for a country are therefore vital. In this paper, electricity demand in Ontario province of Canada from the...
Persistent link: https://www.econbiz.de/10010808148
Electricity is a special energy which is hard to store, so the electricity demand forecasting in China remains an … model using the same data series. The results of popular forecasting precision indexes show that our proposed model is an … effective forecasting technique for seasonal time series with nonlinear trend. …
Persistent link: https://www.econbiz.de/10010571891
forecasting methods. The present paper critically evaluates the electricity demand forecasting methodology and proposes a …
Persistent link: https://www.econbiz.de/10005626875
Accurate and robust short-term load forecasting plays a significant role in electric power operations. This paper … load forecasting problem. The objective is to automatically generate models that could effectively and reliably predict … problem of forecasting electricity consumption. This study, besides providing an important contribution to the energy load …
Persistent link: https://www.econbiz.de/10011189281
In order to better understand the development level of eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction, we conduct dynamic comparison research of its eco-efficiency and the national eco-efficiency, using single ratio method based on the ecological...
Persistent link: https://www.econbiz.de/10010881781
The grey relevance analysis is applied to study the 1996-2009 output value structure of china forestry system. Based on GM(1,1) model, information model is established to predict the forestry industrial structure of China in the next 10 years. Result shows that grey correlations between the...
Persistent link: https://www.econbiz.de/10009203206
This paper puts forward the background and the research on the scale of treasury bond issuance and the factors that influence it. The authors analyze the impacting factors and carry out an empirical investigation using the factor analysis methods, and then forecast the issuance scale of Treasury...
Persistent link: https://www.econbiz.de/10010593283
projection studies by National Center for Education Statistics (NCES). An out-of-sample forecasting competition between the two … under the assumption that grey prediction was as promising as NCES's forecasting technique in dealing with univariate time … NCES's approach to extrapolating education expenditure and school enrollment. The findings revealed that the forecasting …
Persistent link: https://www.econbiz.de/10010702993
The iron and steel industry plays a fundamental role in a country's national economy, especially in developing countries. China is the largest iron ore consumption market in the world. However, because of limited domestic iron ore resources, a large proportion of iron ore is imported from other...
Persistent link: https://www.econbiz.de/10010719904