Ivana Dusparic
Ivana Dusparic
Assistant Professor at Trinity College Dublin
Verified email at scss.tcd.ie - Homepage
Title
Cited by
Cited by
Year
Residential Electrical Demand Forecasting in Very Small Scale: An Evaluation of Forecasting Methods
A Marinescu, C Harris, I Dusparic, S Clarke, V Cahill
572013
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
472013
Distributed W-Learning: Multi-policy optimization in self-organizing systems
I Dusparic, V Cahill
Self-Adaptive and Self-Organizing Systems, 2009. SASO'09. Third IEEE …, 2009
422009
Autonomic multi-policy optimization in pervasive systems: Overview and evaluation
I Dusparic, V Cahill
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 7 (1), 1-25, 2012
332012
Accelerating Learning in Multi-Objective Systems through Transfer Learning
A Taylor, I Dusparic, E Galván-López, S Clarke, V Cahill
In a Special Session on Learning and Optimization in Multi-Criteria Dynamic …, 2014
282014
Transfer Learning in Multi-Agent Systems Through Parallel Transfer
A Taylor, I Dusparic, E Galván-López, S Clarke, V Cahill
272013
Maximizing Renewable Energy Use with Decentralized Residential Demand Response
I Dusparic, A Taylor, A Marinescu, V Cahill, S Clarke
The First IEEE International Smart Cities Conference (ISC2-2015), 2015
212015
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
202017
Towards Autonomic Urban Traffic Control with Collaborative Multi-Policy Reinforcement Learning
I Dusparic, J Monteil, V Cahill
IEEE 19th International Conference on Intelligent Transportation Systems …, 2016
202016
A hybrid approach to very small scale electrical demand forecasting
A Marinescu, C Harris, I Dusparic, V Cahill, S Clarke
ISGT 2014, 1-5, 2014
202014
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
192017
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
2014 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2014
182014
SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning
M Gueriau, I Dusparic
The 21st IEEE International Conference on Intelligent Transportation Systems …, 2018
172018
Multi-agent collaboration for conflict management in residential demand response
F Golpayegani, I Dusparic, A Taylor, S Clarke
Computer Communications 96, 63-72, 2016
172016
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
132014
A Dynamic Forecasting Method for Small Scale Residential Electrical Demand
A Marinescu, I Dusparic, C Harris, V Cahill, S Clarke
Proceeding of the International Joint Conference on Neural Networks, 2014
132014
Reducing electricity costs in a dynamic pricing environment
E Galvan, C Harris, I Dusparic, S Clarke, V Cahill
2012 IEEE Third International Conference on Smart Grid Communications …, 2012
132012
Evaluation of Forecasting Methods for Very Small-Scale Networks
J Cavallo, A Marinescu, I Dusparic, S Clarke
ECML/PKDD 2015, 3rd International Workshop on Data Analytics for Renewable …, 2015
122015
Participant Selection for Short-term Collaboration in Open Multi-agent systems
SC Fatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic
Simulation Modelling Practice and Theory, 2017
11*2017
Collaborative, parallel Monte Carlo tree search for autonomous electricity demand management
F Golpayegani, I Dusparic, S Clarke
2015 Sustainable Internet and ICT for Sustainability (SustainIT), 1-8, 2015
102015
The system can't perform the operation now. Try again later.
Articles 1–20