Matthew Forshaw
Orcid: 0000-0001-7014-9837
According to our database1,
Matthew Forshaw
authored at least 59 papers
between 2012 and 2024.
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Bibliography
2024
A New Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction.
CoRR, 2024
A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning.
CoRR, 2024
A Plan for a Joint Study into the Impacts of AI on Professional Competencies of IT Professionals and Implications for Computing Students.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Vis. Informatics, September, 2023
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023
Proceedings of the Computer Performance Engineering and Stochastic Modelling, 2023
On Improving Streaming System Autoscaler Behaviour using Windowing and Weighting Methods.
Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, 2023
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
2022
Machine learning applications for electricity market agent-based models: A systematic literature review.
CoRR, 2022
Proceedings of the Practical Applications of Stochastic Modelling, 2022
Performability Requirements in Making a Rescaling Decision for Streaming Applications.
Proceedings of the Computer Performance Engineering - 18th European Workshop, 2022
Proceedings of the Computer Performance Engineering - 18th European Workshop, 2022
Proceedings of the Computer Performance Engineering - 18th European Workshop, 2022
A systematic literature review on machine learning for electricity market agent-based models.
Proceedings of the IEEE International Conference on Big Data, 2022
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets.
Sustain. Comput. Informatics Syst., 2021
Using Virtual Machine live migration in trace-driven energy-aware simulation of high-throughput computing systems.
Sustain. Comput. Informatics Syst., 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Optimizing carbon tax for decentralized electricity markets using an agent-based model.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020
Long-term electricity market agent based model validation using genetic algorithm based optimization.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020
Exploring market power using deep reinforcement learning for intelligent bidding strategies.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the Tenth International Workshop on the Practical Application of Stochastic Modelling, 2019
Students' Perception on Data Sources from Outside Virtual Learning Environment for Learning Analytics.
Proceedings of the ICETC 2019, 2019
Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019
2018
Sustain. Comput. Informatics Syst., 2018
Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment.
Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018
Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows.
Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments.
Proceedings of the Ninth International Green and Sustainable Computing Conference, 2018
Proceedings of the Ninth International Conference on Future Energy Systems, 2018
Simulation of Virtual Machine Live Migration in High Throughput Computing Environments.
Proceedings of the 22nd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2018
2017
Erratum to "On the Privacy of Private Browsing - A Forensic Approach" [JISA 19/1(2014), 88-100].
J. Inf. Secur. Appl., 2017
Proceedings of the Ninth International Workshop on the Practical Application of Stochastic Modelling, 2017
Proceedings of the thirty third Annual UK Performance Engineering Workshops, 2017
Performance and Dependability Evaluation of Distributed Event-based Systems: A Dynamic Code-injection Approach.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems.
Proceedings of the Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017
Towards an Extensible and Scalable Energy Harvesting Wireless Sensor Network Simulation Framework.
Proceedings of the Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017
Experience Report: How to Design Web-Based Competitions for Legal Proceedings: Lessons from a Court Case.
Proceedings of the 28th IEEE International Symposium on Software Reliability Engineering, 2017
Proceedings of the 2017 IEEE International Conference on Software Architecture Workshops, 2017
Proceedings of the Computer Performance Engineering - 14th European Workshop, 2017
2016
HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems.
Concurr. Comput. Pract. Exp., 2016
Meeting Graduate Employability Needs through Open-source Collaboration with Industry.
Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016
Out of the Comfort Zone: Embedding Entrepreneurship in a Cohort of Computer Science Doctoral Students.
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016
2015
Flipping the priority: effects of prioritising HTC jobs on energy consumption in a multi-use cluster.
Proceedings of the 8th International Conference on Simulation Tools and Techniques, 2015
Proceedings of the 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2015
2014
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning.
Sustain. Comput. Informatics Syst., 2014
Comparison of a cost-effective virtual cloud cluster with an existing campus cluster.
Future Gener. Comput. Syst., 2014
Proceedings of the Twenty-ninth and thirtieth Annual UK Performance Engineering Workshops, 2014
Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems.
Proceedings of the Seventh International Workshop on the Practical Application of Stochastic Modelling, 2014
Proceedings of the Twenty-ninth and thirtieth Annual UK Performance Engineering Workshops, 2014
Proceedings of the 18th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2014
2013
Analysis of power-saving techniques over a large multi-use cluster with variable workload.
Concurr. Comput. Pract. Exp., 2013
2012
Proceedings of the Computer Performance Engineering - 9th European Workshop, 2012
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012