Wind Speed Prediction in the area of PLTB Tolo Jeneponto South Sulawesi using Artificial Neural Network

Main Authors: Chaerah Gunadin, Indar, Safrizal, Safrizal, Rosyadi, Marwan, Siswanto, Agus, Syukriadin, Syukriadin, Muslimin, Zaenab, Gassing, Gassing
Format: Article PeerReviewed Book
Bahasa: eng
Terbitan: , 2020
Subjects:
Online Access: http://repository.unhas.ac.id/id/eprint/4594/
Daftar Isi:
  • Forecasting the output power of a wind turbine is very much determined by the ability to predict wind speed at the location of the wind turbine placement. The results of this forecast are highly correlated with the operating patterens that will be applied to the electric power system and also with the system operating costs.