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Renewable energy

Indonesia's Renewable Energy Potential: A Study on Ocean Wave Power Plant Utilization

Strategic Insights

— 1 min read

As Indonesia continues to grapple with increasing electricity demand fueled by population growth and economic expansion, researchers have turned to renewable energy sources to meet this demand. A recent study by the Faculty of Science and Technology has assessed the potential of ocean wave power plants using the Oscillating Water Column (OWC) method, with a focus on Bawean Island in Gresik, which faces long-standing electricity supply limitations. The study employed deep learning-based methods, such as the Long Short Term Memory (LSTM) algorithm, to predict electricity generated by the ocean wave power plant, with promising results.

Key Takeaways:

  • The study found that the demand for electricity in Indonesia continues to increase, with a need for renewable energy sources to meet this demand.
  • Bawean Island in Gresik has the potential to harness ocean wave energy using the OWC method, with a focus on predicting electricity generation.
  • The study used time series data from January 1, 2021, to May 5, 2024, which includes wave height, length, period, and amplitude.
  • Deep learning-based methods, such as LSTM, were employed to predict electricity generated by the ocean wave power plant, achieving MAPE values of 0.3657%, 0.1637%, 0.0888%, and 0.3480% for wave height, length, period, and amplitude, respectively.
  • The electricity prediction results obtained a MAPE of 0.3549% using the best parameters.
  • The study highlights the importance of addressing the transmission system between supply and demand to ensure a smooth electricity supply.

Statistics:

  • 2021-2024: Time period of the study, which includes wave height, length, period, and amplitude data.
  • 0.3657%, 0.1637%, 0.0888%, and 0.3480%: MAPE values for wave height, length, period, and amplitude, respectively.
  • 0.3549%: MAPE value for electricity prediction results.
  • 19: Volume of the research published by Barekeng, 2025.
  • 4: Issue number of the research published by Barekeng, 2025.

Sources:

  • "Prediction of The Electric Power By Oscillating Water Column Wave Power Plants on Bawean Island Using Lstm". Barekeng, 2025, 19(4).
  • https://doi-org.sdpl.idm.oclc.org/10.30598/barekengvol19iss4pp2287-2300
  • Faculty of Science and Technology, Universitas Pattimura.
  • Risma Madurahma Putri, Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya, Indonesia.
  • Lutfi Hakim, Dian C Rini Novitasari, Ahmad Hanif Asyhar, Fajar Setiawan.

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