Design of dynamic monitoring algorithm for energy big data with double carbon target

Xinghua Li; Dongge Zhu

doi:10.1117/12.3024775

13 May 2024 Design of dynamic monitoring algorithm for energy big data with double carbon target

Xinghua Li, Dongge Zhu

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131590E (2024) https://doi.org/10.1117/12.3024775
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Under the dual-carbon target, the dynamic monitoring algorithm of data lacks comprehensive analysis of data, which leads to a great difference between the monitoring results and the actual situation. Therefore, the design and research of dynamic monitoring algorithm of energy big data under the dual-carbon target are proposed. Combined with the characteristics of energy big data under the goal of "double carbon", the main tasks of the dynamic monitoring algorithm of energy big data are comprehensively analyzed, and the corresponding dynamic monitoring algorithm is constructed from the perspectives of energy demand and energy distribution, and the state of energy big data is corrected and calibrated from multiple dimensions. In the test results, the error between the monitoring results of different energy data and the actual situation is always stable at a low level, which shows obvious advantages compared with the control group.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinghua Li and Dongge Zhu "Design of dynamic monitoring algorithm for energy big data with double carbon target", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131590E (13 May 2024); https://doi.org/10.1117/12.3024775

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