I am new in the field of deep learning, I want to use deep learning for training our model for PV power forecasting. I am not able to start with deep learning in matlab. Kindly anyone provide me some materials or books or guidance of deep learning.
It also depends which deeper architecture is chosen. Forecasting task can be achieved by DBN , CNN and Recurrent neural nets. please check the following
https://www.mathworks.com/matlabcentral/fileexchange/38310-deep-learning-toolbox?requestedDomain=www.mathworks.com
https://www.mathworks.com/matlabcentral/fileexchange/24291-cnn-convolutional-neural-network-class
PV power forecasting is not too complex to require a Deep Network, which is computationally expensive to implement. Am sure that a single-layered ANN would be fine for this problem. Ockham's razor is still very vital for any ML project you wish to do. If you would like to apply ANN, check my paper - I have an ANN Matlab code in the appendix. https://www.researchgate.net/publication/311650187_Development_of_a_Credit_Risk_Evaluation_System_Using_Multilayer_Feedforward_Neural_Networks
Article Development of a Credit Risk Evaluation System Using Multila...
No need for deep learning. Simple ANN can be used. try NARX for time forecsting
The application of deep learning to accurately forecast the PV power can be founded in the following recent paper:
Article Accurate photovoltaic power forecasting models using deep LSTM-RNN
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