Optimization of energy mix in a smart grid using knapsack problem and forecasts based on HMM.

The energy activities of mankind make it necessary to consider our resources, showing the proportion of renewable energy that allows us to consider a real sustainable development. Renewable resources are an extremely abundant deposit. However, they are mostly fluctuating. Network managers must therefore develop renewable generation forecasting tools to better manage the balance production / consumption and thus improve the integration of this production into networks. It is about how much of the maximum total power given to renewable energy compared to the demand. In this paper, we will optimize the energetic mix through modeling the total resource share of energy using the Knapsack problem, then we’ll predict the fluctuating variables namely consumption and renewable origin production using the Hidden Markov Model.