Prediksi Energi Listrik Kincir Angin Berdasarkan Data Kecepatan Angin Menggunakan LSTM

Main Article Content

Muhammad Qubaisy Andiyantama Iffah Zahira Ade Irawan


Fossil energy is well known as the most energy resource consumed by humans. However, the exploitation leads to damage both in the process of taking raw materials and in the use of those. Furthermore, the amount has become decreasing nowadays. Renewable energy could solve the energy crisis. One kind of renewable energy that has been successfully used by a human is by utilizing wind turbines. However, there are still many problems in its implementation and usage. One of the problems is the unstable generated electricity that is caused by instability of the wind speed. Inappropriate plans for utilizing wind turbines in such areas with varying wind speed could harm renewable energy investment. Therefore, forecasting the wind speed is necessary to anticipate the stability and embrace optimal produced energy. This study proposes the Long Short Term Memory (LSTM) algorithm to predict the generated energy by using the wind speed dataset. Thus, wind turbines can be utilized effectively and efficiently in the right area with sufficient average wind speed.


Download data is not yet available.

Article Details

How to Cite
Andiyantama, M., Zahira, I., & Irawan, A. (2021, March 31). Prediksi Energi Listrik Kincir Angin Berdasarkan Data Kecepatan Angin Menggunakan LSTM. JITCE (Journal of Information Technology and Computer Engineering), 5(01), 1-7.


1. Pope, K., Dincer, I., & Naterer, G. (2010). Energy and exergy efficiency comparison of horizontal and vertical axis wind turbines. Renewable Energy, 35(9), 2102–2113. doi: 10.1016/j.renene.2010.02.013
2. Alat Pengukur Kecepatan Angin. (n.d.). Retrieved from
3. Budiartie, G. (2018, July 2). 7 Fakta Kebun Angin Pertama RI di Sidrap. Retrieved from
4. Djumena, E. (2018, January 16). Melihat PLTB Sidrap, Pembangkit Tenaga Angin Pertama di Indonesia. Retrieved from
5. Grinshpan, A., & Campbell, S. (2016). Maximum Efficiency of a Wind Turbine. Maximum Efficiency of a Wind Turbine, 6. Retrieved from
6. Helmenstine, A. M. (2020, February 4). Know the Density of Air at STP. Retrieved from
7. Ilmugeografi, R. (2016, September 14). Proses Terjadinya Angin dan Jenis-jenis Angin. Retrieved from
8. 'Kincir-kincir angin raksasa' PLTB Sidrap: Mengejar ketinggalan dalam energi terbarukan. (2018, July 3). Retrieved from
9. Papiewski, J. (2017, November 21). Horizontal Vs. Vertical Wind Turbines. Retrieved from
10. Prijono, B., Prijono, B., Diterbitkan, Prijono, B., Prijono, B., & Prijono, B. (2018, April 12). Pengenalan Long Short Term Memory (LSTM) dan Gated Recurrent Unit (GRU) – RNN Bagian 2. Retrieved from
11. Putra, Y. M. P. (2014, June 3). Cadangan Energi Fosil Indonesia Diperkirakan Habis 2025.