Fanlin Meng
Fanlin Meng
Department of Mathematical Sciences, University of Essex
Verified email at essex.ac.uk
Title
Cited by
Cited by
Year
A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid
FL Meng, XJ Zeng
Soft Computing 17 (12), 2365–2380, 2013
822013
A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid
FL Meng, XJ Zeng
IEEE Transactions on Smart Grid 7 (3), 1516-1529, 2016
712016
An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach
FL Meng, XJ Zeng
Neural Networks (IJCNN), 2014 International Joint Conference on, 1703 - 1710, 2014
502014
A stochastic MPC based approach to integrated energy management in microgrids
Y Zhang, F Meng, R Wang, W Zhu, XJ Zeng
Sustainable cities and society 41, 349-362, 2018
402018
Uncertainty-resistant stochastic MPC approach for optimal operation of CHP microgrid
Y Zhang, F Meng, R Wang, B Kazemtabrizi, J Shi
Energy 179, 1265-1278, 2019
392019
Dynamic decision making in lane change: Game theory with receding horizon
F Meng, J Su, C Liu, WH Chen
2016 UKACC 11th International Conference on Control (CONTROL), 1-6, 2016
392016
Gesture segmentation based on a two-phase estimation of distribution algorithm
K Liu, D Gong, F Meng, H Chen, GG Wang
Information Sciences, 88-105, 2017
282017
Mutant reduction based on dominance relation for weak mutation testing
D Gong, G Zhang, X Yao, F Meng
Information and Software Technology 81, 82-96, 2017
282017
A stackelberg game approach to maximise electricity retailer's profit and minimise customers' bills for future smart grid
FL Meng, XJ Zeng
2012 12th UK Workshop on Computational Intelligence (UKCI), 1-7, 2012
202012
An Optimal Real-time Pricing Algorithm for the Smart Grid: A Bi-level Programming Approach
FL Meng, XJ Zeng
2013 Imperial College Computing Student Workshop 35, 81-88, 2013
192013
An integrated optimization + learning approach to optimal dynamic pricing for the retailer with multi-type customers in smart grids
F Meng, XJ Zeng, Y Zhang, CJ Dent, D Gong
Information Sciences 448, 215 - 232, 2018
142018
A bilevel optimization approach to demand response management for the smart grid
FL Meng, XJ Zeng
Evolutionary Computation (CEC), 2016 IEEE Congress on, 287-294, 2016
132016
Appliance level demand modeling and pricing optimization for demand response management in smart grid
FL Meng, XJ Zeng
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
102015
Learning Customer Behaviour under Real-Time Pricing in the Smart Grid
FL Meng, XJ Zeng, Q Ma
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on …, 2013
72013
An Integration Mechanism between Demand and Supply Side Management of Electricity Markets
Z Liu, X Zeng, F Meng
Energies 11 (12), 3314, 2018
42018
Optimal dynamic pricing for smart grid having mixed customers with and without smart meters
Q Ma, F Meng, XJ Zeng
Journal of Modern Power Systems and Clean Energy 6 (6), 1244-1254, 2018
42018
Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets.
W Hua, D Li, H Sun, P Matthews, F Meng
International journal of smart grid and clean energy. 7 (4), 231-239, 2018
42018
A comprehensive MPC based energy management framework for isolated microgrids
Y Zhang, F Meng, R Wang
IEEE, 2017
32017
Forecasting algorithms and optimization strategies for building energy management & demand response
F Meng, K Weng, B Shallal, X Chen, M Mourshed
Multidisciplinary Digital Publishing Institute Proceedings 2 (15), 1133, 2018
22018
Smart Energy Management for Unlocking Demand Response in the Residential Sector
X Chen, K Weng, F Meng, M Mourshed
Multidisciplinary Digital Publishing Institute Proceedings 2 (15), 1136, 2018
22018
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