Spatial Autocorrelation and Entropy for Renewable Energy Forecasting

Main Authors: Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska
Format: info dataset Journal
Terbitan: , 2018
Subjects:
Online Access: https://zenodo.org/record/1242854
Daftar Isi:
  • Additional resources of the paper "Spatial Autocorrelation and Entropy for Renewable Energy Forecasting". The repository includes: - Datasets; - Prediction system and instructions; - Additional experimental results.