Aditya Santosh Joshi

Aditya Joshi (Graduate Student Member) completed his bachelor's degree in electrical engineering in 2021 from Walchand College of Engineering, Sangli, India. He is presently working towards his doctorate in electrical engineering at North Carolina State University. His research is focused on areas such as control, optimization, and machine learning, with a current emphasis on the use of distributed control in energy management systems for networked microgrids.

Works (5)

Updated: November 29th, 2024 01:10

2024 article

Hierarchical Distributed Consensus Based Networked Microgrid Energy Management For Disaster Relief

2024 IEEE 19TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, ICIEA 2024.

By: A. Joshi n  & M. Chow*

author keywords: Distributed Energy Resources; Disaster Relief; Dynamic Networked Microgrids; Energy Management System; Hierarchical Distributed
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: October 21, 2024

2024 conference paper

Strategic Leader Selection and Cluster Formation in Hierarchical Networked Microgrids

2024 IEEE Power & Energy Society General Meeting (PESGM).

By: A. Joshi n , S. Capezza  n & M. Chow *

Source: ORCID
Added: October 21, 2024

2023 conference paper

Hierarchical Distributed Consensus Based Economic Dispatch of Distributed Energy Resources (DERs) for Networked Microgrids

2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES).

By: S. Capezza  n, A. Joshi n  & M. Chow *

UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: ORCID
Added: October 21, 2024

2023 journal article

Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems

IEEE/CAA Journal of Automatica Sinica, 10(7), 1513–1529.

By: A. Joshi n, S. Capezza n, A. Alhaji n & M. Chow*

author keywords: ~Consensus; energy management system (EMS); reinforcement learning; supervised learning
TL;DR: This paper presents an overview of existing conventional and AI-based techniques for energy management systems in microgrids, and summarizes machine learning techniques such as ANNs, federated learning, LSTMs, RNNs, and reinforcement learning for EMS objectives such as economic dispatch, optimal power flow, and scheduling. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries, Web Of Science
Added: July 31, 2023

2023 conference paper

Weighted Hierarchical Consensus based Economic Dispatch Utilizing Cluster Size Estimation for Networked Microgrids

IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society.

By: S. Capezza  n, A. Joshi n  & M. Chow *

Source: ORCID
Added: October 21, 2024

Education

Updated: January 6th, 2023 17:41

2022 - present

North Carolina State University Raleigh, North Carolina, US
Ph.D Electrical Engineering

2017 - 2021

Walchand College of Engineering Sangli, Maharashtra, IN
B.Tech Electrical Engineering

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