Clustered multi-node learning of electric vehicle charging flexibility von Gilanifar, Mostafa, Parvania, Masood

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Integrated Cyber and Physical Anomaly Location and Classification in Power Distribution Systems von Ganjkhani, Mehdi, Gilanifar, Mostafa, Giraldo, Jairo, Parvania, Masood

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Multitask Bayesian Spatiotemporal Gaussian Processes for Short-Term Load Forecasting von Gilanifar, Mostafa, Wang, Hui, Sriram, Lalitha Madhavi Konila, Ozguven, Eren Erman, Arghandeh, Reza

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Integrated Cyber and Physical Anomaly Location and Classification in Power Distribution Systems von Ganjkhani, Mehdi, Gilanifar, Mostafa, Giraldo, Jairo, Parvania, Masood

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Causal Markov Elman Network for Load Forecasting in Multinetwork Systems von Konila Sriram, Lalitha Madhavi, Gilanifar, Mostafa, Zhou, Yuxun, Erman Ozguven, Eren, Arghandeh, Reza

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Fault classification in power distribution systems based on limited labeled data using multi-task latent structure learning von Gilanifar, Mostafa, Wang, Hui, Cordova, Jose, Ozguven, Eren Erman, Strasser, Thomas I., Arghandeh, Reza

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Multi-Task Logistic Low-Ranked Dirty Model for Fault Detection in Power Distribution System von Gilanifar, Mostafa, Cordova, Jose, Wang, Hui, Stifter, Matthias, Ozguven, Eren E., Strasser, Thomas I., Arghandeh, Reza

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Bayesian Spatiotemporal Gaussian Process for Short-term Load Forecasting Using Combined Transportation and Electricity Data von Gilanifar, Mostafa, Wang, Hui, Ozguven, Eren Erman, Zhou, Yuxun, Arghandeh, Reza

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Shape Preserving Incremental Learning for Power Systems Fault Detection von Cordova, Jose, Soto, Carlos, Gilanifar, Mostafa, Yuxun Zhou, Srivastava, Anuj, Arghandeh, Reza

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Using Regression Analysis to Predict the Demand Function of Electricity: A Case Study von Khozani, Hasan Karimian, Esmaeili, Esmaeil, Bisheh, Mohammad Najjartabar, Ayatollahi, Seyed Ahmad, Gilanifar, Mostafa

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