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Deep Learning Approach for Photovoltaic Power Forecasting with Weather Data

Deep Learning Approach for Photovoltaic Power Forecasting with Weather Data
Ansprechpartner:

Shadi Shahoud

Links:

 

Tasks:

  • Factor Analysis and Data Preprocessing
  • Development of short-term and long-term Photovoltaic power forecasting models using deep learning
  • Evaluate the performance of the proposed models

Persönliche Qualifikation:

  • Student of computer science, electrical engineering, mechanical engineering or related disciplines
  • General interest in application of data analysis, deep learning and Big Data
  • Good programming skills in Python and Java
  • Thesis can be written in English or German language