Learning Customer Behaviour under Real-Time Pricing in the Smart Grid

• Published in: 2013 IEEE International Conference on Systems, Man, and Cybernetics pp. 3186 - 3191
• Main Authors: Fan-Lin Meng, Xiao-Jun Zeng, Qian Ma
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2013
• Subjects: Appliance-level response; Customer behaviour; Data models; Electricity; Electricity use patterns; Home appliances; Intelligent power systems; Load modeling; Pricing; Real time pricing; Real-time systems; Smart grid; Space heating

In this paper, we propose two learning models to study the electricity consumption patterns of customers responding to real-time prices. We firstly divide home appliances into non-shift able appliances, shift able appliances and curtail able appliances according to their load types. Since non-shift...