A review of reinforcement learning for autonomous building energy management K Mason, S Grijalva Computers & Electrical Engineering 78, 300-312, 2019 | 252 | 2019 |
Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks K Mason, J Duggan, E Howley Energy 155, 705-720, 2018 | 146 | 2018 |
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants K Mason, J Duggan, E Howley Neurocomputing 270, 188-197, 2017 | 120 | 2017 |
Predicting host CPU utilization in the cloud using evolutionary neural networks K Mason, M Duggan, E Barrett, J Duggan, E Howley Future Generation Computer Systems 86, 162-173, 2018 | 115 | 2018 |
Predicting Host CPU Utilization in Cloud Computing using Recurrent Neural Networks M Duggan, K Mason, J Duggan, E Howley, E Barrett The 8th International Workshop on Cloud Applications and Security, 2017 | 102 | 2017 |
A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch K Mason, J Duggan, E Howley International Journal of Electrical Power & Energy Systems 100, 201-221, 2018 | 91 | 2018 |
A Deep Neural Network Approach for Behind-the-Meter Residential PV Size, Tilt and Azimuth Estimation K Mason, M Reno, L Blakely, S Vejdan, S Grijalva Solar Energy 196, 260-269, 2020 | 60 | 2020 |
Policy invariance under reward transformations for multi-objective reinforcement learning P Mannion, S Devlin, K Mason, J Duggan, E Howley Neurocomputing 263, 60-73, 2017 | 55 | 2017 |
Dynamic economic emissions dispatch optimisation using multi-agent reinforcement learning P Mannion, K Mason, S Devlin, J Duggan, E Howley Proceedings of the Adaptive and Learning Agents workshop (at AAMAS 2016), 2016 | 34 | 2016 |
A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning K Mason, J Duggan, E Howley Applied Soft Computing 62, 148-161, 2018 | 32 | 2018 |
Multi-objective dynamic dispatch optimisation using multi-agent reinforcement learning P Mannion, K Mason, S Devlin, J Duggan, E Howley Proceedings of the 2016 International Conference on Autonomous Agents …, 2016 | 29 | 2016 |
Applying multi-agent reinforcement learning to watershed management K Mason, P Mannion, J Duggan, E Howley Proceedings of the Adaptive and Learning Agents workshop (at AAMAS 2016) 8, 2016 | 29 | 2016 |
Neural network topology and weight optimization through neuro differential evolution K Mason, J Duggan, E Howley Proceedings of the genetic and evolutionary computation conference companion …, 2017 | 28 | 2017 |
Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch K Mason, J Duggan, E Howley Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 20 | 2017 |
A multi-objective multi-agent deep reinforcement learning approach to residential appliance scheduling J Lu, P Mannion, K Mason IET Smart Grid, 2022 | 19 | 2022 |
Exploring avoidance strategies and neighbourhood topologies in particle swarm optimisation K Mason, E Howley International Journal of Swarm Intelligence 2 (2-4), 188-207, 2016 | 17 | 2016 |
Avoidance strategies in particle swarm optimisation K Mason, E Howley Mendel 2015: Recent Advances in Soft Computing 22, 3-15, 2015 | 13 | 2015 |
Investing in generation and storage capacity in a liberalised electricity market: an agent based approach K Mason, N Jenkins, M Qadrdan Applied Energy 294, 116905, 2021 | 12 | 2021 |
An “On The Fly” Framework for Efficiently Generating Synthetic Big Data Sets K Mason, S Vejdan, S Grijalva 2019 IEEE International Conference on Big Data (Big Data), 3379-3387, 2019 | 12 | 2019 |
Avoidance techniques & neighbourhood topologies in particle swarm optimisation K Mason, E Howley Master's thesis, National University of Ireland Galway, 2015 | 12 | 2015 |