scholarly journals A Long-Term Forecast Method for the Investment Demand of Power Grid Based on Linear Regression and Error Correction of Variable

2020 ◽  
Author(s):  
YU-QING HE ◽  
XING ZHANG ◽  
QIN JIANG ◽  
SHU-JUAN CHEN ◽  
YING-JIE LI ◽  
...  
Keyword(s):  
Linear Regression ◽  
Error Correction ◽  
Power Grid ◽  
Forecast Method ◽  
Investment Demand ◽  
Term Forecast ◽  
Grid Based

Long Term Forecast of Electric Load in Beijing

2012 ◽  
Vol 516-517 ◽  
pp. 1490-1495
Author(s):  
Qing You Yan ◽  
Zhi Yu Liu ◽  
Si Qi He
Keyword(s):  
Economic Development ◽  
Electric Power ◽  
Future Development ◽  
Power Supply ◽  
Power Grid ◽  
Electric Load ◽  
Load Forecast ◽  
Term Forecast ◽  
Accurate Forecast

Accurate forecast of electric load provides scientific grounds for national departments to plan how to produce electric power or how to use it and it also benefits the maintenance and construction plan of power grid to improve power supply security. Now the demand of electric power in Beijing increases yearly due to sustained economic development, the electric-load-forecast is practical for Beijing to prepare future development of its electric power. This paper selected 1973~2008 data of Beijing to test the causality between economy and electric load. Then it established equation based on cointegration theory to forecast electric load in future years.

A New Long-Term Forecast Method of Wind Power

2014 ◽  
Vol 950 ◽  
pp. 214-220
Author(s):  
Ying Lin
Keyword(s):  
Wind Power ◽  
Sampling Interval ◽  
Neutral Network ◽  
Forecast Method ◽  
Term Forecast ◽  
Long Time

We forecast wind power in a way combining wavelet neutral network and rolling forecast. At the same time, we build a system of forecast deviation. Then we use some data to test our model, which yields a desirable result. In addition, we are informed that our method can predict wind power correctly in a long time and short sampling interval can lead to a better result than long sampling interval.

Long-term forecast method for ice disasters on power grids

2018 ◽  
Vol 155 ◽  
pp. 108-119 ◽  
Author(s):  
Jiazheng Lu ◽  
Jun Guo ◽  
Xunjian Xu ◽  
Li Yang
Keyword(s):  
Power Grids ◽  
Forecast Method ◽  
Term Forecast

scholarly journals Research on Investment Demand Forecast of Power Grid Based on Grey System Theory

2019 ◽  
Vol 295 ◽  
pp. 042017
Author(s):  
Hui Li ◽  
Yongli Wang ◽  
Dong Peng ◽  
Zhidong Wang ◽  
Yuze Ma ◽  
...  
Keyword(s):  
System Theory ◽  
Power Grid ◽  
Grey System Theory ◽  
Grey System ◽  
Demand Forecast ◽  
Investment Demand ◽  
Grid Based

Determinants of Inflation in Vietnam: A VECM Approach

2015 ◽  
Vol 22 (04) ◽  
pp. 26-50
Author(s):  
Ngoc Tran Thi Bich ◽  
Huong Pham Hoang Cam
Keyword(s):  
Interest Rate ◽  
Crude Oil ◽  
Error Correction ◽  
Budget Deficit ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Domestic Credit ◽  
Short Run ◽  
The Impact

This paper aims to examine the main determinants of inflation in Vietnam during the period from 2002Q1 to 2013Q2. The cointegration theory and the Vector Error Correction Model (VECM) approach are used to examine the impact of domestic credit, interest rate, budget deficit, and crude oil prices on inflation in both long and short terms. The results show that while there are long-term relations among inflation and the others, such factors as oil prices, domestic credit, and interest rate, in the short run, have no impact on fluctuations of inflation. Particularly, the budget deficit itself actually has a short-run impact, but its level is fundamentally weak. The cause of the current inflation is mainly due to public's expectations of the inflation in the last period. Although the error correction, from the long-run relationship, has affected inflation in the short run, the coefficient is small and insignificant. In other words, it means that the speed of the adjustment is very low or near zero. This also implies that once the relationship among inflation, domestic credit, interest rate, budget deficit, and crude oil prices deviate from the long-term trend, it will take the economy a lot of time to return to the equilibrium state.

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