Photovoltaic module explicit neural model

A feedforward neural network is used to model a photovoltaic module.

The phenomenological relation between current and voltage is described by the implicit function. In the case of HIL (hardware in the loop) simulation it could be more convenient to use a neuroemulator instead of solving in real time the phenomenological model of a solar panel (e.g. using Newton's method). This submission contains both approaches. The very basic MPPT (maximum power point tracking) algorithm is also included. There is nothing insightful about this model -- it is supposed to serve educational purposes. Developed back in 2003.