31 citations · 64 across the 7 of their papers we have counts for
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eess.SY2021★ 1 cited
Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids
Fanlin Meng, Qian Ma, Zixu Liu +1
In this paper, we propose a realistic multiple dynamic pricing approach to demand response in the retail market. First, an adaptive clustering-based customer segmentation framework…
eess.SY2016★ 31 cited
An Integrated Optimization + Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids
Fanlin Meng, Xiao-Jun Zeng, Yan Zhang +2
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., customer…
eess.SY2015
A Hybrid Optimization Approach to Demand Response Management for the Smart Grid
Fan-Lin Meng, Xiao-Jun Zeng
This paper proposes a hybrid approach to optimal day-ahead pricing for demand response management. At the customer-side, compared with the existing work, a detailed, comprehensive…