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Shammya Shananda Saha
Researcher at Arizona State University
Publications - 31
Citations - 210
Shammya Shananda Saha is an academic researcher from Arizona State University. The author has contributed to research in topics: Computer science & AC power. The author has an hindex of 6, co-authored 22 publications receiving 101 citations. Previous affiliations of Shammya Shananda Saha include Bangladesh University of Engineering and Technology.
Papers
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Journal ArticleDOI
Empowering Smart Communities: Electrification, Education, and Sustainable Entrepreneurship in IEEE Smart Village Initiatives
Alexander Anderson,Paras Loomba,Ifeanyi Orajaka,Jude Numfor,Shammya Shananda Saha,Samantha Janko,Nathan G. Johnson,Robin Podmore,R. Larsen +8 more
TL;DR: In this paper, the United Nations Sustainable Development Goals (SDGs) have outlined the most effective ways to provide billions of people with clean water, sanitation, access to education, medical services, and communication technologies.
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A secure distributed ledger for transactive energy: The Electron Volt Exchange (EVE) blockchain
Shammya Shananda Saha,Nikhil Ravi,Kari Hreinsson,Jaejong Baek,Anna Scaglione,Nathan G. Johnson +5 more
TL;DR: Work herein introduces the Electron Volt Exchange framework with the following characteristics: a distributed protocol for pricing and scheduling prosumers’ production/consumption while keeping constraints and bids private, and a distributed algorithm to prevent theft that verifies pros consumers’ compliance to scheduled transactions and mitigates the impact of false data injection attacks.
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Lossy DistFlow Formulation for Single and Multiphase Radial Feeders
TL;DR: A line loss approximation via parametrization is developed to improve performance of the simplified Baran and Wu DistFlow method, while maintaining a linear set of equations, to improve the accuracy of multiphase distribution system calculations.
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Prioritizing Energy Blockchain Use Cases Using Type-2 Neutrosophic Number Based EDAS
TL;DR: This study proposes a Type-2 Neutrosophic Number (T2NN) based Evaluation based on Distance from Average Solution (EDAS) to evaluate and rank a set of existing use cases of an energy blockchain system.
Posted Content
Deep Reinforcement Learning for DER Cyber-Attack Mitigation
Ciaran Roberts,Sy-Toan Ngo,Alexandre Milesi,Sean Peisert,Daniel Arnold,Shammya Shananda Saha,Anna Scaglione,Nathan G. Johnson,Anton Kocheturov,Dmitriy Fradkin +9 more
TL;DR: This work considers deep reinforcement learning as a tool to learn the optimal parameters for the control logic of a set of uncompromised DER units to actively mitigate the effects of a cyber-attack on a subset of network DER.