A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid

• Published in: IEEE transactions on smart grid Vol. 7; no. 3; pp. 1516 - 1529
• Main Authors: Meng, Fan-Lin, Zeng, Xiao-Jun
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.05.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Customer behavior learning; Customers; day-ahead pricing; demand response (DR) management; Energy consumption; Fashion models; genetic algorithms (GAs); Home appliances; Learning; Load modeling; Management; Mathematical models; Optimization; Pricing; Profits; Smart grid; smart grids (SGs); Smart meters; Switches; genetic algorithms (GAs); day-ahead pricing; demand response (DR) management; Customer behavior learning; smart grids (SGs)

In this paper, we propose a profit-maximization-based pricing optimization model for the demand response (DR) management with customer behavior learning in the context of smart grids. By recognizing the different consumption patterns between shiftable and curtailable appliances, two different and di...