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Author

Karl Mason

Observed names: Enda Howley, Mason, Karl
ORCID: 0000-0002-8966-9100
Observed ORCID: 0000-0002-8966-9100
OpenAlex ID: A5088726212
A review of reinforcement learning for autonomous building energy management
2019 · Karl Mason, Santiago Grijalva · Computers & Electrical Engineering · 306
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Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks
2018 · Karl Mason, Jim Duggan, et al. · Energy · 143
Predicting host CPU utilization in the cloud using evolutionary neural networks
2018 · Karl Mason, Martin Duggan, et al. · Future Generation Computer Systems · 113
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants
2017 · Karl Mason, Jim Duggan, et al. · Neurocomputing · 111
A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch
2018 · Karl Mason, Jim Duggan, et al. · International Journal of Electrical Power & Energy Systems · 90
Predicting host CPU utilization in cloud computing using recurrent neural networks
2017 · Martin Duggan, Karl Mason, et al. · International Conference for Internet Technology and Secured Transactions · 90
A deep neural network approach for behind-the-meter residential PV size, tilt and azimuth estimation
2019 · Karl Mason, Matthew J. Reno, et al. · Solar Energy · 63
Policy invariance under reward transformations for multi-objective reinforcement learning
2017 · Patrick Mannion, Sam Devlin, et al. · Neurocomputing · 53
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Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
2025 · Daniel Kelly, Vasileios Sergis, et al. · Advanced Functional Materials · 45
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Multi-agent systems in Peer-to-Peer energy trading: A comprehensive survey
2024 · Mian Ibad Ali Shah, Abdul Wahid, et al. · Engineering Applications of Artificial Intelligence · 43
A multi‐objective multi‐agent deep reinforcement learning approach to residential appliance scheduling
2022 · Junlin Lu, Patrick Mannion, et al. · IET Smart Grid · 42
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A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning
2017 · Karl Mason, Jim Duggan, et al. · Applied Soft Computing · 33
In-situ quality monitoring during embedded bioprinting using integrated microscopy and classical computer vision
2025 · Vasileios Sergis, Daniel Kelly, et al. · Biofabrication · 28
A reinforcement learning approach to dairy farm battery management using Q learning
2024 · Nawazish Ali, Abdul Wahid, et al. · Journal of Energy Storage · 22
Neural network topology and weight optimization through neuro differential evolution
2017 · Karl Mason, Jim Duggan, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 20
Investing in generation and storage capacity in a liberalised electricity market: An agent based approach
2021 · Karl Mason, Meysam Qadrdan, et al. · Applied Energy · 18
Peer-to-peer energy trading in dairy farms using multi-agent systems
2024 · Mian Ibad Ali Shah, Abdul Wahid, et al. · Computers & Electrical Engineering · 16
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract)
2016 · Patrick Mannion, Karl Mason, et al. · Adaptive Agents and Multi-Agents Systems · 16
Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch
2017 · Karl Mason, Jim Duggan, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 12
IMoFi - Intelligent Model Fidelity: Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration (Final Report)
2022 · Matthew Reno, Logan Blakely, et al. · 10
Evolving Neural Networks for Robotic Arm Control
2023 · Anthony Horgan, Karl Mason · Lecture notes in computer science · 9
Building HVAC Control via Neural Networks and Natural Evolution Strategies
2021 · Karl Mason, Santiago Grijalva · IEEE Congress on Evolutionary Computation (CEC) · 9
An “On The Fly” Framework for Efficiently Generating Synthetic Big Data Sets
2019 · Karl Mason, Sadegh Vejdan, et al. · IEEE International Conference on Big Data (BigData) · 8
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Uncertainty-Aware Knowledge Transformers for Peer-to-Peer Energy Trading with Multi-Agent Reinforcement Learning
2025 · Mian Ibad Ali Shah, Enda Barrett, et al. · Frontiers in artificial intelligence and applications · 7
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control
2025 · Jonaid Shianifar, Michael Schukat, et al. · Communications in computer and information science · 7
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Works count: 86
Citation count: 1,398
H-index: 16
I10-index: 20
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