Abstarct: By the increase of wind power penetration in electricity markets, a relevant issue is how correlated power production of diverse wind farms as well as the correlation between wind power production and electric load may change market clearing outcomes. This paper uses real-world historical wind and load data to capture spatio-temporal correlation among these random variables. In a simulation frxamework, we evaluate statistically impact of the correlated random variables on clearing outcomes of a competitive pool market, while incorporating inter-temporal constraints of dispatchable generating units to market clearing model. This allows addressing how such constraints and associated costs may change the impact of correlation. The market clearing outcomes are statistically evaluated for different levels of spatio-temporal correlation among the input random variables. This numerical evaluation is run for different load profiles to examine how technological diversification of dispatchable generating units may change the impact of correlated random variables. An illustrative example and a case study show results and remarkable conclusions.