A novel cloud-distributed toolbox for optimal energy dispatch management from renewables in IGSs by using WRNN predictors and GPU parallel solutions

Integrated generation systems (IGSs) are today increasingly considered to exploit renewable energy in order to supply load for remote areas, less developed countries and small isolated communities. The IGS investigated in this paper enclose a PV park with battery energy storage system and this configuration is considered as case study for the campus called Cittadella at the University of Catania. A novel cloud distributed toolbox for the purpose of an optimal energy dispatch management by using Wavelet Recurrent Neural Networks (WRNN) predictors and Graphic Processing Units (GPU) parallel solutions in the IGS considered as case study is proposed. Results coming from the implementation of the proposed cloud architecture are here presented.