Andrei Marinescu
Andrei Marinescu
Lead Data Scientist, Center for Intelligent Power, Eaton
Verified email at - Homepage
Cited by
Cited by
Residential Electrical Demand Forecasting in Very Small Scale: An Evaluation of Forecasting Methods
A Marinescu, C Harris, I Dusparic, S Clarke, V Cahill
Software Engineering Challenges for the Smart Grid (SE4SG), 2013 2nd …, 2013
Multi-agent residential demand response based on load forecasting
I Dusparic, C Harris, A Marinescu, V Cahill, S Clarke
2013 1st IEEE conference on technologies for sustainability (SusTech), 90-96, 2013
Prediction-based multi-agent reinforcement learning in inherently non-stationary environments
A Marinescu, I Dusparic, S Clarke
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 12 (2), 9, 2017
Prediction-based multi-agent reinforcement learning for inherently non-stationary environments
A Marinescu
Trinity College Dublin, 2016
Residential demand response: Experimental evaluation and comparison of self-organizing techniques
I Dusparic, A Taylor, A Marinescu, F Golpayegani, S Clarke
Renewable and Sustainable Energy Reviews 80, 1528-1536, 2017
Maximizing renewable energy use with decentralized residential demand response
I Dusparic, A Taylor, A Marinescu, V Cahill, S Clarke
2015 IEEE First International Smart Cities Conference (ISC2), 1-6, 2015
A Hybrid Approach to Very Small Scale Electrical Demand Forecasting
A Marinescu, C Harris, I Dusparic, V Cahill, S Clarke
IEEE PES Innovative Smart Grid Technologies Conference (ISGT), 2014
Set point control for charging of electric vehicles on the distribution network
C Harris, I Dusparic, E Galván-López, A Marinescu, V Cahill, S Clarke
ISGT 2014, 1-5, 2014
Using deep Q-learning to prolong the lifetime of correlated internet of things devices
J Hribar, A Marinescu, GA Ropokis, LA DaSilva
2019 IEEE International Conference on Communications Workshops (ICC …, 2019
Decentralised multi-agent reinforcement learning for dynamic and uncertain environments
A Marinescu, I Dusparic, A Taylor, V Cahill, S Clarke
arXiv preprint arXiv:1409.4561, 2014
A dynamic forecasting method for small scale residential electrical demand
A Marinescu, I Dusparic, C Harris, V Cahill, S Clarke
2014 International Joint Conference on Neural Networks (IJCNN), 3767-3774, 2014
System level evaluation and validation of the ns-3 LTE module in 3GPP reference scenarios
A Marinescu, I Macaluso, LA DaSilva
Proceedings of the 13th ACM Symposium on QoS and Security for Wireless and …, 2017
P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments.
A Marinescu, I Dusparic, A Taylor, V Cahill, S Clarke
AAMAS, 1897-1898, 2015
Learning-based remote channel inference: Feasibility analysis and case study
S Chen, Z Jiang, S Zhou, Z Niu, Z He, A Marinescu, LA DaSilva
IEEE Transactions on Wireless Communications 18 (7), 3554-3568, 2019
A smart residential microgrid based on renewable energy sources with integrated electric vehicle charging station
A Marinescu, I Serban
2018 International Symposium on Fundamentals of Electrical Engineering …, 2018
Evaluation of forecasting methods for very small-scale networks
J Cavallo, A Marinescu, I Dusparic, S Clarke
Data Analytics for Renewable Energy Integration: Third ECML PKDD Workshop …, 2015
Energy-aware deep reinforcement learning scheduling for sensors correlated in time and space
J Hribar, A Marinescu, A Chiumento, LA DaSilva
IEEE Internet of Things Journal 9 (9), 6732-6744, 2021
Optimising residential electric vehicle charging under renewable energy: multi‐agent learning in software simulation and hardware‐in‐the‐loop evaluation
A Marinescu, A Taylor, S Clarke, I Serban, C Marinescu
International Journal of Energy Research 43 (8), 3853-3868, 2019
A multi-agent neural network for dynamic frequency reuse in LTE networks
A Marinescu, I Macaluso, LA DaSilva
2018 IEEE International Conference on Communications Workshops (ICC …, 2018
Scalable multi-agent learning for situationally-aware multiple-access and grant-free transmissions
Z Jiang, A Marinescu, LA DaSilva, S Zhou, Z Niu
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
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