Forecasting the Total Renewable Energy Portfolio Quota under the Dual Carbon Targets

This study, framed by China’s “dual carbon” objectives, presents a predictive framework for overall renewable energy consumption. The approach integrates an autoregressive model with an ARIMA time series method to provide a comprehensive analysis and validation of electricity consumption and energy use. The study examined variations in China’s total renewable energy consumption under different policy scenarios: if the policy contribution rate is 100%, renewable electricity consumption will reach 6,624.0 billion kWh (accounting for 51.63%); if it is only 60%, additional measures such as reinforcing the electricity pricing mechanism and enhancing grid flexibility upgrades are required, leading to a consumption level of 5,883.4 billion kWh (accounting for 45.86%). Finally, the feasibility of the renewable energy consumption forecasting model was analyzed.

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Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1109/icgeps65133.2025.11034463
Primary Topic
Energy Load and Power Forecasting
Type
article
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article

Forecasting the Total Renewable Energy Portfolio Quota under the Dual Carbon Targets

Yang Gao
Energy Load and Power Forecasting
article

Forecasting the Total Renewable Energy Portfolio Quota under the Dual Carbon Targets

Yang Gao
article en

Abstract

This study, framed by China’s “dual carbon” objectives, presents a predictive framework for overall renewable energy consumption. The approach integrates an autoregressive model with an ARIMA time series method to provide a comprehensive analysis and validation of electricity consumption and energy use. The study examined variations in China’s total renewable energy consumption under different policy scenarios: if the policy contribution rate is 100%, renewable electricity consumption will reach 6,624.0 billion kWh (accounting for 51.63%); if it is only 60%, additional measures such as reinforcing the electricity pricing mechanism and enhancing grid flexibility upgrades are required, leading to a consumption level of 5,883.4 billion kWh (accounting for 45.86%). Finally, the feasibility of the renewable energy consumption forecasting model was analyzed.

Guangxi University (CN)
Affordable and clean energy
Openalex Percentile: Top 88%
Energy Load and Power Forecasting
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