The need to achieve sustainability is driving a major transformation of the energy sector. The traditional top-down approach to electricity supply and grid management is being strongly disrupted by a range of forces including distributed renewables, retail market liberalization, and the need for energy consumers to adapt their behavior to the availability of renewable energy sources. We introduce Power TAC, a competitive simulation that challenges researchers to build autonomous trading agents that tackle the complex decision processes a retailer will need to face in future competitive retail electricity markets.

Additional Metadata
Keywords Sustainability Electric power Economic decision-making Competitive simulation Trading agents Smart grid Power TAC
Persistent URL dx.doi.org/10.1007/s13218-014-0311-6, hdl.handle.net/1765/114946
Series ERIM Top-Core Articles
Journal KI Künstliche Intelligenz
Citation
Ketter, W, & Collins, J. (2014). Smart Grid Challenges for Electricity Retailers. KI Künstliche Intelligenz, 28(3), 191–198. doi:10.1007/s13218-014-0311-6