Abstarct: In this thesis, strategic offering for a cluster of wind-storage systems participating as a single entity in the day-ahead and balancing markets is presented. Uncertainties in the market prices and the wind power production are modeled by scenarios. As empirical studies validate a meaningful positive correlation among wind farms, the spatio-temporal correlation is modeled through the combination of multivariate and autoregressive integrated moving average models. To handle uncertainties, the strategic offering problem is presented as a risk-constrained stochastic programming model. The performance of the proposed model is analyzed using real-world data of wind and market prices in Spain electricity market. The results indicate that with considering correlation, the value of expected profit and its sensitivity relative to the risk aversion variation increase.