23 citations · 33 across the 6 of their papers we have counts for
7 papers
Adaptive Traffic Control with Deep Reinforcement Learning: Towards State-of-the-art and Beyond
Siavash Alemzadeh, Ramin Moslemi, Ratnesh Sharma +1
In this work, we study adaptive data-guided traffic planning and control using Reinforcement Learning (RL). We shift from the plain use of classic methods towards state-of-the-art…
Stochastic Decision-Making Model for Aggregation of Residential Units with PV-Systems and Storages
Hossein Khazaei, Ramin Moslemi, Ratnesh Sharma
Many residential energy consumers have installed photovoltaic (PV) panels and energy storage systems. These residential users can aggregate and participate in the energy markets. A…
Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation
Changfu Li, Chenrui Jin, Ratnesh Sharma
Increasing adoption of solar photovoltaic (PV) presents new challenges to modern power grid due to its variable and intermittent nature. Fluctuating outputs from PV generation can…
BAFFLE : Blockchain Based Aggregator Free Federated Learning
Paritosh Ramanan, Kiyoshi Nakayama
A key aspect of Federated Learning (FL) is the requirement of a centralized aggregator to maintain and update the global model. However, in many cases orchestrating a centralized a…
Energy Predictive Models with Limited Data using Transfer Learning
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. We specifically inv…
Model Predictive BESS Control for Demand Charge Management and PV-Utilization Improvement
M. E. Raoufat, B. Asghari, R. Sharma
Adoption of battery energy storage systems for behind-the-meters application offers valuable benefits for demand charge management as well as increasing PV-utilization. The key poi…
SDP-based State Estimation of Multi-phase Active Distribution Networks using micro-PMUs
Vahid Rasouli Disfani, Mohammad Chehreghani Bozchalui, Ratnesh Sharma
Distribution system state estimation (DSSE) is an essential tool for operation of distribution networks, the results of which enables the operator to have a thorough observation of…