Stochastic Optimization Model for a Smart Retailer

This thesis takes into consideration a retailer that has the challenging task of operating an energy community composed of a number of domestic loads, a photovoltaic power plant and a storage system. This community is connected to the main grid. A model has been realized to help the aggregator (or the retailer) to take the best decisions concerning the bids in the Day-ahead Market; the aim is to provide electricity to the loads minimizing the costs