In this paper, we develop a deep learning model using back propagation neural network (BPNN) that helps to obtain maximum power point. This aims maximise the output from solar grids when panels are connected with boost converter under different variable load conditions. BPNN-DL enables prediction of reference voltage at weather conditions for severing various ensures stable voltage. The propose...

Fossil fuel is one of the major sources world’s energy generation. Greenhouse gases are increasing in atmosphere due to excessive use fossil fuels. To tackle global warming and shortage natural gases, researchers always looking for alternative clean energy. Solar becoming popular its inexhaustible nature. get most out a solar system generate maximum power, it important operate panel at power po...

Wind energy systems are being closely studied be c a u s e of its benefits as an environmentally friendly and renewable source of energy. Because of its unpredictable availability, power management concepts are essential to extract as much power as possible from the wind when it becomes available. The purpose of this thesis is to presents a new adaptive control algorithm for maximum power point...