Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods. - Andrei Marinescu; Colin Harris; Ivana Dusparic; Siobhán Clarke; Vinny Cahill (SE4SG@ICSE, 2013)

A dynamic forecasting method for small scale residential electrical demand. - Andrei Marinescu; Ivana Dusparic; Colin Harris; Vinny Cahill; Siobhán Clarke (IJCNN, 2014)

Set point control for charging of electric vehicles on the distribution network. - Colin Harris; Ivana Dusparic; Edgar Galván López; Andrei Marinescu; Vinny Cahill; Siobhán Clarke (ISGT, 2014)

A hybrid approach to very small scale electrical demand forecasting. - Andrei Marinescu; Colin Harris; Ivana Dusparic; Vinny Cahill; Siobhán Clarke (ISGT, 2014)

Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments. - Andrei Marinescu; Ivana Dusparic; Adam Taylor; Vinny Cahill; Siobhán Clarke (CoRR, 2014)

P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments. - Andrei Marinescu; Ivana Dusparic; Adam Taylor; Vinny Cahill; Siobhán Clarke (AAMAS, 2015)

Maximizing renewable energy use with decentralized residential demand response. - Ivana Dusparic; Adam Taylor; Andrei Marinescu; Vinny Cahill; Siobhán Clarke (ISC2, 2015)

Evaluation of Forecasting Methods for Very Small-Scale Networks. - Jean Cavallo; Andrei Marinescu; Ivana Dusparic; Siobhán Clarke (DARE, 2015)

Prediction-Based Multi-Agent Reinforcement Learning for Inherently Non-Stationary Environments - Andrei Marinescu (2016)

System Level Evaluation and Validation of the ns-3 LTE Module in 3GPP Reference Scenarios. - Andrei Marinescu; Irene Macaluso; Luiz A. DaSilva (Q2SWinet@MSWiM, 2017)

Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments. - Andrei Marinescu; Ivana Dusparic; Siobhán Clarke (ACM Trans. Auton. Adapt. Syst., 2017)

A Multi-Agent Neural Network for Dynamic Frequency Reuse in LTE Networks. - Andrei Marinescu; Irene Macaluso; Luiz A. DaSilva (ICC Workshops, 2018)

Using Deep Q-Learning to Prolong the Lifetime of Correlated Internet of Things Devices. - Jernej Hribar; Andrei Marinescu; George A. Ropokis; Luiz A. DaSilva (ICC Workshops, 2019)

Scalable Multi-Agent Learning for Situationally-Aware Multiple-Access and Grant-Free Transmissions. - Zhiyuan Jiang; Andrei Marinescu; Luiz A. DaSilva; Sheng Zhou 001; Zhisheng Niu (SPAWC, 2019)

Learning-Based Remote Channel Inference: Feasibility Analysis and Case Study. - Sheng Chen 013; Zhiyuan Jiang; Sheng Zhou 001; Zhisheng Niu; Ziyan He; Andrei Marinescu; Luiz A. DaSilva (IEEE Trans. Wirel. Commun., 2019)

Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space. - Jernej Hribar; Andrei Marinescu; Alessandro Chiumento; Luiz A. DaSilva (IEEE Internet Things J., 2022)