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Data Resource Library for Renewable Energy Prediction/Forecasting

  • Subeyr Bashir Ahmed,
  • Hasmat Malik,
  • Shahrin Md Ayob,
  • Nik Rumzi Nik Idris,
  • Awang Jusoh,
  • Fausto Pedro García Márquez

摘要

The objective of this chapter is to develop a data resource library for renewable energy forecasting/prediction using the whole world’s available dataset of the solar and wind domains. A large volume of dataset information and resource files have been collected from Asia, Africa, Latin America, Oceania, and North America regions. Data library for 214 different locations in the world (48 locations of Asia region, 54 locations of Africa region, 44 locations of European region, 33 locations of Latin America region, 14 locations of Oceania region, and 21 locations of North America region) has been prepared. Moreover, 16 data resource libraries are included, which are applicable to the whole world’s locations. These generalized 16 data resource libraries are very useful to collect renewable energy data for those locations where the installation of a metrological station is not feasible.