2013/06/04 by Waleed Najy, Waleed K. A. Najy, Jacob W. Crandall +5
Computer Science · Engineering · #Computational Engineering #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Finance #Optimal Power Flow Distribution #Smart Grid Energy Management #Smart Grid Security and Resilience #and Science (cs.CE) #cs.CE #cs.GT
paper · pdf · doi:10.48550/arxiv.1306.0816
arxiv created 2013/06/04 · openalex publication_date 2013/06/04 · arxiv updated 2013/06/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Demand-side management (DSM) is becoming an increasingly important component of the envisioned smart grid. The ability to improve the efficiency of energy use in the power system by altering demand is widely viewed as being not merely promising but in fact essential. However, while the advantages of DSM are clear, arriving at an efficient implementation has so far proven to be less straightforward. There have recently been many proposals put forth in the literature to tackle the demand scheduling aspect of DSM. One particular approach based on a game-theoretic treatment of the day-ahead load-scheduling problem has recently gained tremendous popularity in the DSM literature. In this letter, an assessment of this approach is conducted, and its main result is challenged.