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Aditya Joshi
Affiliation
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA
Topic
Economic Dispatch,Energy Management System,Average Consensus,Distributed Energy Resources,Distribution System,Neighboring Nodes,Network Topology,Networked Microgrids,Energy Management,Graph Laplacian,Graph Theory,Matrix Form,Power Balance Constraint,Power Grid,Power System,Cluster Formation,Convergence Of System,Distributed Algorithm,Distributed Control,Economic Problems,Faster Convergence,Hierarchical Approach,Lagrange Multiplier,Leader Selection,Levels Of Hierarchy,Microgrid System,Optimal Partition,Power Demand,AI Techniques,Balance Of Power,Central Node,Centrality Measures,Cluster Size,Combined Heat And Power,Communication Links,Communication Topology,Complex Network,Consensus Network,Consensus Value,Convergence Time,Cross-case Analysis,Data Privacy,Degree Centrality,Disaster Management,Disaster Scenarios,Discrete-time,Dynamic Network,Echo State Network,Eigenvalues,Eigenvector Centrality,
Biography
Aditya Joshi (Student Member, IEEE) received the bachelor degree in electrical engineering from Walc-hand College of Engineering, Sangli-India, in 2021. He is currently pursuing the master degree in electrical engineering at North Carolina State University. His research interests include control, optimization, and machine learning. His current research interests include the application of machine-learning techniques to microgrid and battery modeling.