Peer-reviewed papers and Publications
The following list contains Fetch's employees research output that has been peer reviewed or are under review
Peer-Reviewed Papers
2020
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2019
Transaction Pricing for Maximizing Throughput in a Sharded Blockchain Ledger
2020 Crypto Valley Conference - Economic and Financial Track
James Riehl and Jonathan Ward
Autonomous Economic Agents as a Second Layer Technology for Blockchains: Framework Introduction and Use-case Demonstration
2020 Crypto Valley Conference - Economic and Financial Track
David Minarsch, Seyed Ali Hosseini, Marco Favorito and Jonathan Ward
Trading Agent Competition with Autonomous Economic Agents
19th International Conference on Autonomous Agents and Multiagent Systems
David Minarsch, Marco Favorito, Ali Hosseini, Jonathan Ward
Trading Agent Competition with Autonomous Economic Agents
IEEE Trans. Smart Grid 11(2): 1343-1355 (2020)
Yujian Ye, Dawei Qiu, Mingyang Sun, Dimitrios Papadaskalopoulos and Goran Strbac
Model-Free Real-Time Autonomous Control for A Residential Multi-Energy System Using Deep Reinforcement Learning
IEEE Transactions on Smart Grid
Yujian Ye, Dawei Qiu, Xiaodong Wu, Goran Strbac and Jonathan Ward
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach
9th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020)
Yujian Ye, Dawei Qiu, Jonathan Ward and Marcin Abram
Fully Distributed Verifiable Random Functions and their Application to Decentralised Random Beacons
David Galindo, Jia Liu, Mihai Ordean and Jin-Mann Wong
Why Do Public Blockchains Need Formal and Effective Internal Governance Mechanisms?
European Journal of Risk Regulation, Cambridge University Press. Volume 10 Issue 2 pp. 359-375
David Galindo and Karen Yeung
Auditable Credential Anonymity Revocation Based on Privacy-Preserving Smart Contracts
Data Privacy Management, Cryptocurrencies and Blockchain Technology, ESORICS 2019, LNCS volume 11737, pp. 355-371
David Galindo, Rujia Li and Qi Wang
Democratising blockchain: A minimal agency consensus model
Tokenomics 2019,1st International Conference on Blockchain Economics, Security and Protocols
Marcin Abram, Daniel Honerkamp, Jonathan Ward, Jin-Mann Wong
Multi-Period and Multi-Spatial Equilibrium Analysis in Imperfect Electricity Markets: A Novel Multi-Agent Deep Reinforcement Learning Approach
IEEE Access 7: 130515-130529
Yujian Ye, Dawei Qiu, Jing Li and Goran Strbac
Peer-to-Peer Negotiation for Optimising Journeys of Electric Vehicles on a Tour of Europe
18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2019
Seyed Ali Hosseini, Diarmid Campbell, Marco Favorito and Jonathan Ward
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