Evaluation of AMI and SCADA Data Synergy for Distribution Feeder Modeling

2015 ◽  
Vol 6 (4) ◽  
pp. 1639-1647 ◽  
Author(s):  
Shih-Che Huang ◽  
Chan-Nan Lu ◽  
Yuan-Liang Lo
2017 ◽  
Vol 5 (3) ◽  
pp. 88 ◽  
Author(s):  
Munwar Ayaz ◽  
Ghullam Mustafa ◽  
Muhammad Usman ◽  
Ghulam Yameen
Keyword(s):  

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 40124-40139
Author(s):  
Zunaib Maqsood Haider ◽  
Khawaja Khalid Mehmood ◽  
Saad Ullah Khan ◽  
Muhammad Omer Khan ◽  
Abdul Wadood ◽  
...  

2005 ◽  
Vol 20 (1) ◽  
pp. 117-125 ◽  
Author(s):  
Yujia Zhou ◽  
Anil Pahwa ◽  
Sanjoy Das

This article presents two methods for predicting weather-related overhead distribution feeder failures. The first model is based on linear regression, which uses a regression function to determine the correlation between the weather factors and overhead feeder failures. The second method is based on a one-layer Bayesian network, which uses conditional probabilities to model the correlation. Both methods are discussed and followed by tests to assess their performance. The results obtained using these methods are discussed and compared.


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