This paper focuses on modeling power exchanges in a multi-agent interacting framework
with reduced behavioral assumptions. A model of the day ahead market session of OMEL (the
Spanish Power Exchange) is proposed using real demand data with simulated seller strategies.
The number of sellers is defined at the first stage and the quantity of goods is distributed over
the population of agents according to several initial distributions. A Clearing-house
mechanism matches the cumulative demand and supply curves in order to determine the
market-clearing price. The resulting price time-series are statistically tested to verify the
validity of the model. Results show the main properties of real market and assess the validity
of the proposed model.
