Takagi-Sugeno Fuzzy Systems Applied to Voltage Prediction of Photovoltaic Plants
High penetration level of intermittent and variable renewable electricity generation introduces signicant challenges
to energy management of modern smart grids. Solar photovoltaics and wind energy have uncertain and non-dispatchable
output which leads to concerns regarding the technical and economic feasibility of a reliable integration of large amounts of
variable generation into electric grids. In this scenario, accurate forecasting of renewable generation outputs is of paramount