Taking Second-life Batteries from Exhausted to Empowered using Experiments, Data Analysis, and Health Estimation

no code implementations • 29 Feb 2024 • Xiaofan Cui, Muhammad Aadil Khan, Gabriele Pozzato, Surinder Singh, Ratnesh Sharma, Simona Onori

The reuse of retired electric vehicle (EV) batteries in electric grid energy storage emerges as a promising strategy to address environmental concerns and boost economic value.

Adaptive Traffic Control with Deep Reinforcement Learning:Towards State-of-the-art and Beyond

1 code implementation • 21 Jul 2020 • Siavash Alemzadeh, Ramin Moslemi, Ratnesh Sharma, Mehran Mesbahi

In this work, we study adaptive data-guided traffic planning and control using Reinforcement Learning (RL).

Decision Making reinforcement-learning +1

Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation

no code implementations • 14 Oct 2019 • Changfu Li, Chenrui Jin, Ratnesh Sharma

The reward scheme of the DRL is carefully designed to ensure voltage operation limits of the grid are met with more effective utilization of SI reactive power.

reinforcement-learning Reinforcement Learning (RL)

Energy Predictive Models with Limited Data using Transfer Learning

no code implementations • 6 Jun 2019 • Ali Hooshmand, Ratnesh Sharma

In this paper, we consider the problem of developing predictive models with limited data for energy assets such as electricity loads, PV power generations, etc.

Time Series Time Series Analysis +1