An Integrated Optimization + Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids

no code implementations • 18 Dec 2016 • Fanlin Meng, Xiao-jun Zeng, Yan Zhang, Chris J. Dent, Dunwei Gong

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 smart meters (C-HEMS), customers with only smart meters (C-SM), and customers without smart meters (C-NONE).

Decision Making Distributed Optimization +2