Olamide Jogunola

Orcid: 0000-0002-2701-9524

Affiliations:
  • Manchester Metropolitan University, UK


According to our database1, Olamide Jogunola authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Federated Deep Learning for Intrusion Detection in Consumer-Centric Internet of Things.
IEEE Trans. Consumer Electron., February, 2024

Interlinked Computing in 2040: Safety, Truth, Ownership, and Accountability.
Computer, January, 2024

Peer-to-Peer Local Energy Market: Opportunities, Barriers, Security, and Implementation Options.
IEEE Access, 2024

2023
Machine Learning Algorithms to Detect Illicit Accounts on Ethereum Blockchain.
Proceedings of the 7th International Conference on Future Networks and Distributed Systems, 2023

2022
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices.
IEEE Internet Things J., 2022

VirtElect: A Peer-to-Peer Trading Platform for Local Energy Transactions.
IEEE Internet Things J., 2022

A Digital Twin Integrated Cyber-physical Systems for Community Energy Trading.
Proceedings of the IEEE International Conference on Communications, 2022

Optimal Dynamic Multi-source Multi-community Power Schedule and Trading.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Consensus Algorithms and Deep Reinforcement Learning in Energy Market: A Review.
IEEE Internet Things J., 2021

Quantifying Self-consumption and Flexibility Provision through Battery Storage, a Deep Reinforcement Learning Approach.
Proceedings of the ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems, Dubai United Arab Emirates, December 15, 2021

Effect of Variability of Orders in an Auction-based Local Energy Market.
Proceedings of the ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems, Dubai United Arab Emirates, December 15, 2021

Comparative Analysis of Hybrid Deep Learning Frameworks for Energy Forecasting.
Proceedings of the ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems, Dubai United Arab Emirates, December 15, 2021

2020
Prosumers Matching and Least-Cost Energy Path Optimisation for Peer-to-Peer Energy Trading.
IEEE Access, 2020

2019
Demonstrating Blockchain-Enabled Peer-to-Peer Energy Trading and Sharing.
Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019

2018
Virtual microgrids: a management concept for peer-to-peer energy trading.
Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, 2018

2017
Cooperative Hybrid Wireless-Powerline Channel Transmission for Peer-to-Peer Energy Trading and Sharing System.
Proceedings of the International Conference on Future Networks and Distributed Systems, 2017


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