2019
DOI: 10.1155/2019/3901821
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Study of the Modified Logistic Model of Chinese Electricity Consumption Based on the Change of the GDP Growth Rate under the Economic New Normal

Abstract: In the context of the new normal, the global economy is entering a deep adjustment period, and the driving forces of development are also constantly changing. As a result, China’s economy has also entered a “new normal” phase in which it is growing in a manageable and relatively balanced manner. In addition, the new normal characteristics of the power industry’s development in China are also very significant, and they affect the adaptability of traditional power forecasting methods. By analyzing the new charac… Show more

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Cited by 3 publications
(2 citation statements)
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References 11 publications
(12 reference statements)
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“…More specifically, Beijing experienced severe air pollution during 2013 and 2014, and then PM2.5 dropped significantly during 2015 to 2020. After 2020, the level of PM2.5 in Beijing seemed the logistic model, chosen for its similarity to the observed "S" shape in PM2.5 data, estimates the probability of the dependent variable based on influencing independent variables (Cui & Zhao, 2019). The formula for the simple logistic model is as follows:…”
Section: Machine Learning Analysis Methodsmentioning
confidence: 99%
“…More specifically, Beijing experienced severe air pollution during 2013 and 2014, and then PM2.5 dropped significantly during 2015 to 2020. After 2020, the level of PM2.5 in Beijing seemed the logistic model, chosen for its similarity to the observed "S" shape in PM2.5 data, estimates the probability of the dependent variable based on influencing independent variables (Cui & Zhao, 2019). The formula for the simple logistic model is as follows:…”
Section: Machine Learning Analysis Methodsmentioning
confidence: 99%
“…Historic energy demand [17,27,30,[61][62][63]75,[84][85][86]91,96,118,131,133,134,138,140,143,146,[148][149][150]152,154,[156][157][158][159][160]168,181,189,192,202,230,231,234,239,240,242,243,255,262,263,268,270,273,277,280,282,…”
Section: Regressionmentioning
confidence: 99%