Demand response creates an opportunity for consumers to play an important role in the development of smart grids. With the advent of renewable energies and their uncertainties

demand response provides a possible solution to resolve these uncertainties. In addition to demand response schemes in the presence of renewable energy

the personality types of consumers can influence the choice of tariffs and change their electricity costs. In this paper

first

household residents with different types of personalities are considered as energy consumers. Secondly

the uncertainty of renewable energy sources is considered for the distributed generations scheduling by using a stochastic method called the Here-and-Now approach and considering three tariffs

time of use

real-time pricing

and direct load control in the residential sector to reduce total costs. Finally

the tariff choice is compared based on people preferences via various personality types

the Myers-Briggs Type Indicator test

and simulations results. Also

a probabilistic unit commitment methodology is used for distributed generations scheduling to minimize the total cost. The financial losses caused by non-optimal tariffs selection are determined through the comparison of tariffs. Simulation results show that time of use and direct load control tariffs are optimal ones in summer and winter seasons

respectively.