About this document

Solar PV Generation Forecasting System by hamzaaltaf is a document available to read on EtoBox.

The document outlines a proposed research project on developing an accurate machine learning model for solar PV generation forecasting to enable optimal planning and operation of microgrids. The proposed methodology will use a deep neural network model trained on time series data from multiple sources. The expected results are that the model will achieve over 80% accuracy and improve on existing forecasting methods.

Author

hamzaaltaf

Language

EN