The significance of building a ML model to predict output is that you can switch it up and use it to predict the parameters needed for an optimal output. Thus, you could use the model to tell you what materials, layout, and dimensions are needed to make the best theoretical solar cell. That's the time saver
steve2sloth t1_j39gbch wrote
Reply to comment by ubermeisters in Lowering energy costs: The artificial neural network can provide an accurate prediction of the photovoltaic panel's output performance by mightx
The significance of building a ML model to predict output is that you can switch it up and use it to predict the parameters needed for an optimal output. Thus, you could use the model to tell you what materials, layout, and dimensions are needed to make the best theoretical solar cell. That's the time saver