Andrei Marinescu

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 10

Top Topics

Distribution Network

Demand Forecasting

Reinforcement Learning

Top Venues

Publications

Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva
Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space. IEEE Internet Things J. 9 (9) (2022)
Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space. CoRR (2020)
Zhiyuan Jiang, Andrei Marinescu, Luiz A. DaSilva, Sheng Zhou, Zhisheng Niu
Scalable Multi-Agent Learning for Situationally-Aware Multiple-Access and Grant-Free Transmissions. SPAWC (2019)
Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva
Using Deep Q-Learning to Prolong the Lifetime of Correlated Internet of Things Devices. ICC Workshops (2019)
Sheng Chen, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, Ziyan He, Andrei Marinescu, Luiz A. DaSilva
Learning-Based Remote Channel Inference: Feasibility Analysis and Case Study. IEEE Trans. Wirel. Commun. 18 (7) (2019)
Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva
Using Deep Q-learning To Prolong the Lifetime of Correlated Internet of Things Devices. CoRR (2019)
Andrei Marinescu, Irene Macaluso, Luiz A. DaSilva
A Multi-Agent Neural Network for Dynamic Frequency Reuse in LTE Networks. ICC Workshops (2018)
Andrei Marinescu, Irene Macaluso, Luiz A. DaSilva
A Multi-Agent Neural Network for Dynamic Frequency Reuse in LTE Networks. CoRR (2018)
Andrei Marinescu, Ivana Dusparic, Siobhán Clarke
Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments. ACM Trans. Auton. Adapt. Syst. 12 (2) (2017)
Andrei Marinescu, Irene Macaluso, Luiz A. DaSilva
System Level Evaluation and Validation of the ns-3 LTE Module in 3GPP Reference Scenarios. Q2SWinet@MSWiM (2017)
Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke
P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments. AAMAS (2015)
Jean Cavallo, Andrei Marinescu, Ivana Dusparic, Siobhán Clarke
Evaluation of Forecasting Methods for Very Small-Scale Networks. DARE (2015)
Ivana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill, Siobhán Clarke
Maximizing renewable energy use with decentralized residential demand response. ISC2 (2015)
Andrei Marinescu, Colin Harris, Ivana Dusparic, Vinny Cahill, Siobhán Clarke
A hybrid approach to very small scale electrical demand forecasting. ISGT (2014)
Andrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke
A dynamic forecasting method for small scale residential electrical demand. IJCNN (2014)
Colin Harris, Ivana Dusparic, Edgar Galván López, Andrei Marinescu, Vinny Cahill, Siobhán Clarke
Set point control for charging of electric vehicles on the distribution network. ISGT (2014)
Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke
Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments. CoRR (2014)
Andrei Marinescu, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill
Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods. SE4SG@ICSE (2013)