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 todayincreasingly considered to exploit renewable energy in order tosupply load for remote areas, less developed countries and smallisolated communities. The IGS investigated in this paper enclosea PV park with battery energy storage system and this configurationis considered as case study for the campus called Cittadellaat the University of Catania. A novel cloud distributed toolboxfor the purpose of an optimal energy dispatch management byusing Wavelet Recurrent Neural Networks (WRNN) predictorsand Graphic Processing Units (GPU) parallel solutions in theIGS considered as case study is proposed. Results coming fromthe implementation of the proposed cloud architecture are herepresented.