Abstract

The photovoltaic solar generation has been facing major challenges for its implementation worldwide. In most cases, hybridization aims to rationalize or make reliable forecast output and yield higher projection accuracy. One possible way to overcome the weaknesses of particular methods is to develop hybrid methodologies (hardware and Software) that capitalize on both approaches’ strengths so that the end result is a forecasting system that is robust, flexible, and accurate. This paper intends a prospective study on improvements and developments to propose the structure of a methodology of photovoltaic solar generation prediction system, composed of communication and sensing infrastructure and a virtual environment for application and development of forecasting’s CI methods.

Keywords: Energy planning models; Solar forecasting; Photovoltaics systems