Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage

no code implementations • 18 Sep 2023 • Reza Kakavand, Mehrdad Palizi, Peyman Tahghighi, Reza Ahmadi, Neha Gianchandani, Samer Adeeb, Roberto Souza, W. Brent Edwards, Amin Komeili

The predicted mechanical response of manual and semi-automated FE models were compared.

Segmentation

Distributed Energy Management and Demand Response in Smart Grids: A Multi-Agent Deep Reinforcement Learning Framework

no code implementations • 29 Nov 2022 • Amin Shojaeighadikolaei, Arman Ghasemi, Kailani Jones, Yousif Dafalla, Alexandru G. Bardas, Reza Ahmadi, Morteza Haashemi

Furthermore, this framework enables the power grid service provider to leverage distributed energy resources (i. e., PV rooftop panels and battery storage) as dispatchable assets to support the smart grid during peak hours, thus achieving management of distributed energy resources.

energy management Management +2

A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids

no code implementations • 23 Sep 2020 • Arman Ghasemi, Amin Shojaeighadikolaei, Kailani Jones, Morteza Hashemi, Alexandru G. Bardas, Reza Ahmadi

This paper presents a Reinforcement Learning (RL) based energy market for a prosumer dominated microgrid.

reinforcement-learning Reinforcement Learning (RL)

Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning

no code implementations • 23 Sep 2020 • Amin Shojaeighadikolaei, Arman Ghasemi, Kailani R. Jones, Alexandru G. Bardas, Morteza Hashemi, Reza Ahmadi

Demand Response (DR) has a widely recognized potential for improving grid stability and reliability while reducing customers energy bills.

Decision Making reinforcement-learning +1