Chaerah Gunadin, Indar and Safrizal, Safrizal and Rosyadi, Marwan and Siswanto, Agus and Syukriadin, Syukriadin and Muslimin, Zaenab and Gassing, Gassing (2020) Wind Speed Prediction in the area of PLTB Tolo Jeneponto South Sulawesi using Artificial Neural Network. International Conference on Information Technology, Advanced Mechanical and Electrical Engineering (ICITAMEE).
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IEEE Explore_Indar Chaerah Gunadin_Wind Speed Prediction.pdf
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Abstract (Abstrak)
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.
Item Type: | Article |
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Depositing User: | - Andi Anna |
Date Deposited: | 20 May 2021 05:08 |
Last Modified: | 20 May 2021 05:08 |
URI: | http://repository.unhas.ac.id:443/id/eprint/4594 |