Electricity big data has significant usage in calculating carbon emissions, which can help the government establish China's carbon peak and carbon neutrality regulations. Based on the transformation method between electricity consumption and other energetic consumption (i.e. oil, gas, coal etc.), this paper demonstrates the “electricity-energy” conversion model by exploring the tremendous value of big electricity data and the energetic consumption historical data. Furthermore, according to the linear regression model, this paper illustrates how real-time electricity big data and carbon emission have a substantial linear regression relationship, which is the “electricity-carbon” model. Using the “electricity-carbon” model can predict regional and industrial carbon emissions.