23 citations · 33 across the 6 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
eess.SY2019★ 2 cited
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…
cs.LG2019★ 23 cited
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…
cs.LG2019
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…