Published May 1, 2017 | Version v1
Journal article

Potentiality Prediction of Electric Power Replacement Based on Power Market Development Strategy

  • 1. China Electric Power Research Institute, Beijing (China)
  • 2. State Grid Hebei Electric Power Company, Hebei (China)
  • 3. State Grid Zhejiang Electric Power Company, Zhejiang (China)
  • 4. State Grid Beijing Electric Power Company, Beijing (China)

Description

The application of electric power replacement plays an important role in promoting the development of energy conservation and emission reduction in our country. To exploit the potentiality of regional electric power replacement, the regional GDP (gross domestic product) and energy consumption are taken as potentiality evaluation indicators. The principal component factors are extracted with PCA (principal component analysis), and the integral potentiality analysis is made to the potentiality of electric power replacement in the national various regions; a region is taken as a research object, and the potentiality of electric power replacement is defined and quantified. The analytical model for the potentiality of multi-scenario electric power replacement is developed, and prediction is made to the energy consumption with the grey prediction model. The relevant theoretical research is utilized to realize prediction analysis on the potentiality amount of multi-scenario electric power replacement. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1755-1315/64/1/012105

Additional details

Publishing Information

Journal Title
IOP Conference Series: Earth and Environmental Science (Online)
Journal Volume
64
Journal Issue
1
Journal Page Range
[9 p.]
ISSN
1755-1315

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52084678
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY; S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
AIR POLLUTION ABATEMENT; ELECTRIC POWER; ENERGY CONSERVATION; ENERGY CONSUMPTION; EVALUATION; FORECASTING; GROSS DOMESTIC PRODUCT; MARKET
Descriptors DEC
POLLUTION ABATEMENT; POWER