The challenge for our paper consists in controlling the performance of the future state of a microgrid with energy produced from renewable energy sources. The added value of this proposal consists in identifying the most used criteria, related to each modeling step, able to lead us to an optimal neural network forecasting tool. In order to underline the effects of users’ decision making on the forecasting performance, in the second part of the article, two Adaptive Neuro-Fuzzy Inference System (ANFIS) models are tested and evaluated. Several scenarios are built by changing: the prediction time horizon (Scenario 1) and the shape of membership functions (Scenario 2).

Throughout the history of evolution of humanity, knowledge, creativity and innovation have been the decisive factors in the intellectual as well as the economic development. However, lately, the tools necessary to crate, share and apply knowledge have cardinally changed. As a result, the economy is transformed into an economy which has knowledge and creativity at its foundation, as a cornerstone, and the production process generates an innovation-based production, which involves the use of knowledge applied in technology, know-how, new organizational structures and management. The current generation has little and a fairly fragile experience in the development and evolution of the capitalist state and, thus, it is not prepared to deal with the economic crisis and the stages of recession. For this purpose, a philosophy of change, flexibility and intelligent survival is welcome. Under such conditions, it becomes absolutely necessary for the citizens of a country to be trained towards the development of flexible and adaptable behavior by cultivating creative skills and innovative spirit. Based on classifications of online tools and Web technology solutions applied through advanced learning methods, the conditions for their application and use will be analyzed, looking at the effects that have been recorded so far and further refinements.