| 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 | 102 | 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 | 76 | 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 | 68 | 2017 |
| Prediction-based multi-agent reinforcement learning for inherently non-stationary environments A Marinescu Trinity College Dublin, 2016 | 68 | 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 | 46 | 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 | 42 | 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 | 24 | 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 | 21 | 2014 |
| 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 | 20 | 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 | 19 | 2019 |
| 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 | 19 | 2017 |
| 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 | 17 | 2014 |
| 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 | 16 | 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 | 14 | 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 | 14 | 2018 |
| 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 | 12 | 2021 |
| 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 | 12 | 2015 |
| 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 | 9 | 2019 |
| 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 | 6 | 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 | 6 | 2018 |
Siobhan ClarkeProfessor of Software Systems, Trinity College DublinVerified email at tcd.ie
