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REFERENCES

1 
T. L. Nguyen, G. S. Collins, J. Spence, J. P. Daurès, P. J. Devereaux, P. Landais, and Y. L. Manach, ``Double-adjustment in propensity score matching analysis: choosing a threshold for considering residual imbalance,'' BMC Medical Research Methodology, vol. 17, 78, 2017.DOI
2 
Y. Zhang, H. Fu, Q. Zhao, H. Qiao, and X. Gang, ``Research on construction method of the prediction model for semi-trailer on-board weighing system,'' International Journal of Heavy Vehicle Systems (IJHVS), vol. 29, no. 1, pp. 1-12, 2022.DOI
3 
W. Pan, ``Research on power system risk assessment considering large-scale wind and solar access,'' Journal of Physics: Conference Series, vol. 2215, 012024, 2022.DOI
4 
Y.-T.Lu, J.-B. Li, Y.-L. Ge, G. Wei, and X.-L. Huang, ``Research on anomaly detection technology of source grid load system,'' Computer Technology and Development, vol. 29, no. 8, pp. 58-62, 2019.DOI
5 
F. Zhang, J. Yang, C. Sun, X. Guo, and T. Wan, ``Research on multi-source heterogeneous data fusion technology of new energy vehicles under the new four modernizations,'' Journal of Physics: Conference Series, vol. 1865, no. 2, 022034, 2021.DOI
6 
X. He, Z. Jiang, W. Liu, C. Ma, X. Li, and Y. Zhong, ``Analysis of new energy accommodation capability based on multi-state probability model,'' Power Systems and Big Data, vol. 21, no. 7, pp. 8-13, 2018.URL
7 
J. Xu, J. Shao, and T. Wang, ``Teaching mode on short-term load forecasting based on bp neural network model,'' Frontiers in Sustainable Development, vol. 2, no. 6, 2022.DOI
8 
B. Peng, C. Wang, and X. Tang, ``Research on power system load forecasting model based on machine learning,'' Proc. of 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), IEEE, 2019.DOI
9 
Q. Meng, J. Xu, L. Ge, Z. Wang, J. Wang, L. Xu, and Z. Tang, ``Economic optimization operation approach of integrated energy system considering wind power consumption and flexible load regulation,'' Journal of Electrical Engineering & Technology, vol. 19, no. 1, pp. 209-221, 2023.DOI
10 
N. Gowtham, V. Prema, M. F. Elmorshedy, M. S. Bhaskar, and D. J. Almakhles, ``A power aware long short-term memory with deep brief network based microgrid framework to maintain sustainable energy management and load balancing,'' Distributed Generation & Alternative Energy Journal, vol. 39, no. 1, pp. 1–26, 2023.DOI
11 
C. Reich, A. Ostropolets, P. Ryan, P. Rijnbeek, M. Schuemie, A. Davydov, D. Dymshyts, and G. Hripcsak, ``OHDSI standardized vocabularies—a large-scale centralized reference ontology for international data harmonization,'' Journal of the American Medical Informatics Association, vol. 31, no. 3, pp. 583-590, 2024.DOI
12 
G. Shao, B. Gao, Y. Liu, Y. Jia, T. An, Z. Yu, and H. Yue, ``Key technologies of multi-source data integration system for large power grid operation,'' Proc. of E3S Web of Conferences, 2021.DOI
13 
Y. Su, M. Guo,H. Yao, and Z. Zhong, ``Power system small-signal stability assessment model based on residual graph convolutional networks,'' Journal of Physics: Conference Series, vol. 2095, 012011, 2021.DOI
14 
L. F. Qin, W. X. Ren, and C. R. Guo, ``A physics-data hybrid framework to develop bridge digital twin model in structural health monitoring,'' International Journal of Structural Stability and Dynamics, vol. 23, no. 16n18, 2340037, 2023.DOI
15 
S. Seyedzadeh, F. P. Rahimian, S. Oliver, I. Glesk, and B. Kumar, ``Data driven model improved by multi-objective optimization for prediction of building energy loads,'' Automation in Construction, vol. 116, 103188, 2020.DOI
16 
L. Zhuang, B. Tang, L. Bin, P. Li, and F. Fu, ``Performance prediction of an internal-circulation membrane bioreactor based on models' comparison and data features analysis,'' Biochemical Engineering Journal, vol. 166, 107850, 2020.DOI
17 
J. Tinoco, A. G. Correia, P. Cortez, and D. G. Toll, ``Data-driven model for stability condition prediction of soil embankments based on visual data features,'' Journal of Computing in Civil Engineering, vol. 32, no. 4, 2018.DOI
18 
T. Qian, S. Yang, J. Geng, and S. Wang, ``Probabilistic optimal power flow calculation method considering sequential features and correlations of multi-uncertain source-load scenarios,'' Journal of Renewable and Sustainable Energy, vol. 13, 045503, 2021.DOI
19 
T. Xia, Y. Zhou, S. Zhan, H. Lin, T. Zhang, and Y. Lan, ``Research on short-term load forecasting of power system based on gradient lifting tree,'' International Journal of Power and Energy Conversion (IJPEC), vol. 13, no. 3-4, pp. 235-247, 2022.DOI
20 
D. Wu, J. Su, Z. Chen, and H. Liu, ``Effects of distributed generation on carbon emission reduction of distribution network,'' Distributed Generation & Alternative Energy Journal, vol. 39, no. 1, pp. 57–82, 2023.DOI
21 
D. Yang, H. Sun, J. Yu, and B. Guo, ``Relational database energy prediction model based on MBRC,'' Computer Science, vol. 44, no. 7, pp. 161-166, 2017.URL
22 
X. Luo, R.-T. Liao, Z.-Y. Zha, Y.-X. Wang, and Y.-Y. Jiao, ``Research on energy reserve real-time scheduling model of power system under cloud platformm'' Electronic Design Engineering, vol. 27, no. 2, pp. 175-184, 2019.DOI
23 
X. Zhang, T. Qi, and D. Kim, ``Prediction of high-frequency economic data based on stochastic fluctuation model,'' Security and Communication Networks, 2022.DOI
24 
Y. Chen, P. Li, W. Ren, X. Shen, and M. Cao, ``Field data–driven online prediction model for icing load on power transmission lines,'' Measurement and Control, vol. 53, no. 1-2, pp. 126-140, 2020.DOI
25 
Z. Peng, Y. Q. Shao, H. Su, and H. Xie, ``Research on design model of data asset operation monitoring platform based on power big data,'' Proceedings of the 6th International Conference on Big Data Research, 2022.DOI
26 
J. Zhao, Q. Wu, E.-F. Li, N. D. Hatziargyriou, and F. Teng, ``Decentralized data-driven load restoration in coupled transmission and distribution system with wind power,'' IEEE Transactions on Power Systems, vol. 36, no. 5, pp. 4435-4444, 2021.DOI
27 
Y. Yang, W. Cai, Q. Zhang, B. Yan, Y. Zhong, and H. Huang, ``Short-term load forecasting of new energy power system based on combined forecasting model,'' Techniques of Automation and Applications, vol. 8, 2019.URL
28 
F. Li, Q. Song, J. Qian, Z. Chen, Q. Yan, and X. Yang, ``Combined forecasting of short-term PV power generation based on IOWA operator,'' Power System and Clean Energy, vol. 6, 2016.URL
29 
N. Yang, J. Cui, Z. Zhou, S. Zhang, L. Zhang, D. Liu, and W. Hu, ``Research on nonparametric kernel density estimation for modeling of wind power probability characteristics based on fuzzy ordinal optimization,'' Power System Technology, vol. 40, no. 2, 2016.DOI
30 
S. Kumari, S. Sreekumar, S. Singh, and D. P. Kothari, ``Wind power deviation charge reduction using machine learning,'' Distributed Generation & Alternative Energy Journal, vol. 39, no. 1, pp. 27–56, 2023.DOI