Research output per year
Research output per year
Personal profile
Overview
Dr Fanlin Meng joined Alliance Manchester Business School as a Lecturer in Data Science from August 2022. He was Lecturer in Data Science with University of Essex between 2019 and 2022. He previously held several research positions in Cardiff (Engineering), Edinburgh (Mathematics), Durham (ECS) and Loughborough (AAE). He received his PhD in Computer Science from the University of Manchester in 2015.
His primary research interests include Energy Data Analytics, Energy Market with Demand Response and Renewable Energy Integration, Smart Energy and Mobility, Machine Learning, Game Theory and Optimisation. He is Fellow of British Computer Society (FBCS), member of EPSRC Peer Review College, and Senior Member of IEEE.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
External Examiner, Leeds University Business School
2021 → …
Research Beacons, Institutes and Platforms
- Digital Futures
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Network
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A bilevel game-theoretic decision-making framework for strategic retailers in both local and wholesale electricity markets
Hong, Q., Meng, F., Liu, J. & Bo, R., 15 Jan 2023, In: Applied Energy. 330, 120311.Research output: Contribution to journal › Article › peer-review
Open Access -
Customised Multi-Energy Pricing: Model and Solutions
Hong, Q., Meng, F. & Liu, J., Feb 2023, In: Energies. 16, 4Research output: Contribution to journal › Article › peer-review
Open Access -
Data augmentation with norm-AE and selective Pseudo-Labelling for Unsupervised Domain Adaptation
Wang, Q., Meng, F. & Breckon, T. P., 11 Feb 2023, (E-pub ahead of print) In: Neural Networks.Research output: Contribution to journal › Article › peer-review
Open Access -
Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning
Shi, P., Qi, Q., Qin, Y., Meng, F., Lou, S., Scotting, P. J. & Jiang, X., 20 Feb 2023, (Accepted/In press) In: IEEE Transactions on Industrial Informatics.Research output: Contribution to journal › Article › peer-review
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Process Knowledge-guided Autonomous Evolutionary Optimization for Constrained Multiobjective Problems
Zuo, M., Gong, D., Wang, Y., Ye, X., Zeng, B. & Meng, F., 7 Feb 2023, (E-pub ahead of print) In: IEEE Transactions on Evolutionary Computation.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Downloads (Pure)
Thesis
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A Game-theoretic and Machine-learning Approach to Demand Response Management for the Smart Grid
Author: Meng, F., 1 Aug 2016Supervisor: Zeng, X. (Supervisor)
Student thesis: Phd
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