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Karl Mason
Karl Mason
University of Galway
Bestätigte E-Mail-Adresse bei gatech.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A review of reinforcement learning for autonomous building energy management
K Mason, S Grijalva
Computers & Electrical Engineering 78, 300-312, 2019
3062019
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
1612018
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
1352018
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants
K Mason, J Duggan, E Howley
Neurocomputing 270, 188-197, 2017
1312017
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
1142017
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
1062018
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
652020
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
612017
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
372018
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
352016
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
332016
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
322016
A multi-objective multi-agent deep reinforcement learning approach to residential appliance scheduling
J Lu, P Mannion, K Mason
IET Smart Grid, 2022
312022
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
282017
Multi-Agent Systems in Peer-to-Peer Energy Trading: A Comprehensive Survey
MIA Shah, A Wahid, E Barrett, K Mason
Engineering Applications of Artificial Intelligence 132, 107847, 2024
232024
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
212017
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
192016
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
172021
Avoidance strategies in particle swarm optimisation
K Mason, E Howley
Mendel 2015: Recent Advances in Soft Computing 22, 3-15, 2015
132015
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
122019
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