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  "author": "M. Jia",
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      "extra_author": "G. Hug",
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      "extra_author": "N. Zhang",
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      "extra_author": "Y. Wang",
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      "extra_author": "Y. Wang",
            
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    },
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      "extra_author": "C. Kang",
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      "extra_author": "C. Kang",
            
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      "orcid": ""
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      "title": "Data-driven Linearization"
            
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gle.com/file/d/1jf7rB8iQS5IJZsq7fDwTl08ueBS2s1wk/view?usp=drive_link",
            
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  "name": "data-driven-power-flow-linearization---supplementary-file",
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  "name": "data-driven-power-flow-linearization---supplementary-file",
            
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  "notes": "This paper presents a comprehensive review of existing 
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  "notes": "This paper presents a comprehensive review of existing 
            
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data-driven power flow linearization (DPFL) experiments, detailing the 
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data-driven power flow linearization (DPFL) experiments, detailing the 
            
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capabilities and limitations of these experiments. Additionally, it 
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capabilities and limitations of these experiments. Additionally, it 
            
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provides an in-depth numerical examination of DPFL methods, 
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provides an in-depth numerical examination of DPFL methods, 
            
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complementing the theoretical insights explored in Part I and 
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complementing the theoretical insights explored in Part I and 
            
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addressing the limited experimental work found in the existing 
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addressing the limited experimental work found in the existing 
            
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literature.",
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literature.",
            
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