English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The deep integration with energy technology and Internet technology provides the possibility of reducing environmental pollution and solving the problem of energy shortage. In the context of energy Internet, this paper analyzes the influencing factors of carbon emission in the electricity industry, constructs a carbon emission prediction model in China electricity industry based on the ridge estimation and multiple linear regression method, and carries out simulated analysis and accuracy test of the prediction model by bringing in the relevant data. The results show that the power supply structure, economic development, electricity consuming structure and electricity loss have a promoting effect on the carbon emission, while the implementation of power demand side management and the industrial structure have an inhibiting effect. Goodness of fit of the prediction model is up to 99.4%.

Research and Constructing Carbon Emission Prediction Model in China Electricity Industry Based on Energy Internet