├── README.md
└── data_for_SE_case14_for_ML.mat


/README.md:
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 1 | # Power-System-State-Estimation 
 2 | This is a dataset for IEEE 14 bus system generated using MATPOWER. It includes various measurements as input and voltage and magnitudes of all 14 buses as states. The paper has been published in to International Journal of Electrical Power & Energy Systems.  Here is the link to arxiv https://arxiv.org/pdf/2101.03457.pdf
 3 | 
 4 | Click in the the link  below for dataset and the source code. Some of the file are yet to upload. Please read the paper to understand this code.
 5 | https://drive.google.com/drive/folders/1Rn1Tnv0XAM1oODwcPImpoSrmGZTdzQrO?usp=sharing
 6 | 
 7 | The MATLAB code for GM-Estimator was obtained from following link. Please cite the paper in the links if you use the GM-Estimator. 
 8 | https://www.mathworks.com/matlabcentral/fileexchange/60838-matlab-code-of-robust-gm-estimator-for-power-system-state-estimation-using-projection-statistics
 9 | 
10 | 
11 | Please cite this work as 
12 | @article{BHUSAL2021106806,
13 | title = {Deep ensemble learning-based approach to real-time power system state estimation},
14 | journal = {International Journal of Electrical Power & Energy Systems},
15 | volume = {129},
16 | pages = {106806},
17 | year = {2021},
18 | }
19 | 


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/data_for_SE_case14_for_ML.mat:
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https://raw.githubusercontent.com/nbhusal/Power-System-State-Estimation/2bc222653420181f7cbd9feda9398d7c2cf1d072/data_for_SE_case14_for_ML.mat


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