Learning Reactive Power Control Polices in Distribution Networks Using Conditional Value-at-Risk and Artificial Neural Networks von Krishna Sandeep Ayyagari, Reynaldo Gonzalez, Yufang Jin, Miltiadis Alamaniotis, Sara Ahmed, Nikolaos Gatsis

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Experimental Benchmarking of Existing Offline Parameter Estimation Methods for Induction Motor Vector Control von Reddy, Butukuri Koti, Ayyagari, Krishna Sandeep, Kumar, Yemula Pradeep, Giri, Nimay Chandra, Rajgopal, Panganamamula Venkata, Fotis, Georgios, Mladenov, Valeri

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Optimal pump scheduling in multi-phase distribution networks using Benders decomposition von Ayyagari, Krishna Sandeep, Gatsis, Nikolaos

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Buildings-to-distribution-network integration for coordinated voltage regulation and building energy management via distributed resource flexibility von Fontenot, Hannah, Ayyagari, Krishna Sandeep, Dong, Bing, Gatsis, Nikolaos, Taha, Ahmad

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A robust indoor localization approach exploiting multipath von Mundlamuri, Rahul, Inupakutika, Devasena, Ayyagari, Krishna Sandeep, Gunnam, Ganesh Reddy, Akopian, David

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Assessing the Optimality of LinDist3Flow for Optimal Tap Selection of Step Voltage Regulators in Unbalanced Distribution Networks von Ayyagari, Krishna Sandeep, Abraham, Sherin Ann, Yao, Yiyun, Ghosh, Shibani, Flores-Espino, Francisco, Nagarajan, Adarsh, Gatsis, Nikolaos

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Assessing the Optimality of LinDist3Flow for Optimal Tap Selection of Step Voltage Regulators in Unbalanced Distribution Networks von Ayyagari, Krishna Sandeep, Abraham, Sherin Ann, Yao, Yiyun, Ghosh, Shibani, Flores-Espino, Francisco, Nagarajan, Adarsh, Gatsis, Nikolaos

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Application of Machine Learning Techniques in Modern Hybrid Power Systems - A Case Study von Reddy, B. Koti, Ayyagari, Krishna Sandeep, Medam, Raveendra Reddy, Alhaider, Mohemmed

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