Davide Wiest

Davide Wiest

Computer Science Student aiming to pursue a career in Machine Learning

PV Electricity-Production-Capacity Forecasting

Published:

-> repository

  • Categories: #MachineLearning, #ML-ModelValidation, #DataScience, #DataExtractionProcessing, #DataVisualization, #TimeSeriesForecast
  • Technologies: #Python, #Darts, #Pandas, #Matplotlib

Details

Used a series of mutlivariate time series models from the package Darts to forecast the electricity generated from PV-systems in Germany using 8 historic and 1 predicted metrics. Optimizing mode architecture (N-Beats), evaluating and using the forecast in a research-paper about the consequences of the national growth in pv-systems.