Study on the prediction of primary energy consumption based on  Markov chain model

Jing Zheng

doi:10.1117/12.2673686

22 May 2023 Study on the prediction of primary energy consumption based on Markov chain model

Jing Zheng

Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 126400M (2023) https://doi.org/10.1117/12.2673686
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China

Abstract

With the rapid development of China's economy, the total amount of energy consumption in China is also increasing. It is a major task to achieve energy conservation and green development. This paper is based on the historical data of China's energy consumption structure from 2007 to 2020. First, based on Markov chain theory, a prediction model of energy consumption structure is constructed; Secondly, the average transfer probability matrix of the energy consumption structure is calculated, and the optimal transfer probability matrix is selected according to the optimization idea; Finally, the optimal transfer probability matrix is used to predict China's energy consumption structure from 2021- 2025. The predicted changes in energy consumption structure can provide relevant reference for optimizing the energy consumption structure.

Citation Download Citation

Jing Zheng "Study on the prediction of primary energy consumption based on Markov chain model", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 126400M (22 May 2023); https://doi.org/10.1117/12.2673686

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