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Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets (2018)
Presentation / Conference Contribution
Hua, W., Li, D., Sun, H., Matthews, P., & Meng, F. (2017, September). Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. Presented at 2nd International Conference on Power and Renewable Energy, Chengdu, China

In order to alleviate the effects of greenhouse gas emissions, the environmental and economic dispatch (EED) is formulated as multiobjective problem (MOP) solved by multiobjective immune algorithm (MOIA). Building on this model, the virtual power pla... Read More about Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets.

Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets (2018)
Journal Article
Hua, W., Li, D., Sun, H., Matthews, P., & Meng, F. (2018). Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. International journal of smart grid and clean energy, 7(4), 231-239. https://doi.org/10.12720/sgce.7.4.231-239

In order to alleviate the effects of greenhouse gas emissions, the environmental and economic dispatch (EED) is formulated as multiobjective optimization problem (MOP) solved by multiobjective immune algorithm (MOIA). Building on this model, the virt... Read More about Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets.

An Integrated Optimization + Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids (2018)
Journal Article
Meng, F., Zeng, X.-J., Zhang, Y., Dent, C. J., & Gong, D. (2018). An Integrated Optimization + Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids. Information Sciences, 448-449, 215-232. https://doi.org/10.1016/j.ins.2018.03.039

In this paper, we consider a realistic and meaningful scenario in the context of smart grids where an electricity retailer serves three different types of customers, i.e., customers with an optimal home energy management system embedded in their smar... Read More about An Integrated Optimization + Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids.

An Optimal Differential Pricing in Smart Grid Based on Customer Segmentation (2017)
Presentation / Conference Contribution
Meng, F., Kazemtabrizi, B., Zeng, X., & Dent, C. (2017, September). An Optimal Differential Pricing in Smart Grid Based on Customer Segmentation. Presented at 7th IEEE International Conference on Innovative Smart Grid Technologies “ISGT Europe 2017”., Torino, Italy

In smart grids, dynamic pricing (e.g., time-of-use pricing (ToU), real-time pricing (RTP)) has recently attracted enormous interests from both academia and industry. Although differential pricing has been widely used in retail sectors such as broadba... Read More about An Optimal Differential Pricing in Smart Grid Based on Customer Segmentation.

A Comprehensive MPC based Energy Management Framework for Isolated Microgrids (2017)
Presentation / Conference Contribution
Zhang, Y., Meng, F., & Wang, R. (2017, September). A Comprehensive MPC based Energy Management Framework for Isolated Microgrids. Presented at The 7th IEEE International Conference on Innovative Smart Grid Technologies (IEEE PES ISGT Europe 2017), Torino, Italy

Isolated regions and remote islands are facing problems such as imported fossil-fuel dependency, increasing electricity prices, and low electricity quality. Isolated microgrids technologies which integrate large scale of renewable energy resources, e... Read More about A Comprehensive MPC based Energy Management Framework for Isolated Microgrids.

Gesture segmentation based on a two-phase estimation of distribution algorithm (2017)
Journal Article
Liu, K., Gong, D., Meng, F., Chen, H., & Wang, G. (2017). Gesture segmentation based on a two-phase estimation of distribution algorithm. Information Sciences, 394-395, 88-105. https://doi.org/10.1016/j.ins.2017.02.021

A multi-objective optimization model for the problem of gesture segmentation is formulated, and a method of solving the model based on a two-phase estimation of distribution algorithm is presented. When building the model, the positions of a series o... Read More about Gesture segmentation based on a two-phase estimation of distribution algorithm.

Mutant reduction based on dominance relation for weak mutation testing (2016)
Journal Article
Gong, D., Zhang, G., Yao, X., & Meng, F. (2017). Mutant reduction based on dominance relation for weak mutation testing. Information and Software Technology, 81, 82-96. https://doi.org/10.1016/j.infsof.2016.05.001

Context: As a fault-based testing technique, mutation testing is effective at evaluating the quality of existing test suites. However, a large number of mutants result in the high computational cost in mutation testing. As a result, mutant reduction... Read More about Mutant reduction based on dominance relation for weak mutation testing.