Hybrid Energy Systems Integrated Power System Imbalance Cost Calculation Using Moth Swam Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7524-0_5
Reference15 articles.
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3. Demolli, H., Dokuz, A.S., Ecemis, A., Gokcek, M.: Wind power forecasting based on daily wind speed data using machine learning algorithms. Energy Convers. Manage. 198(111823) (2019)
4. Kumar, R., Kumar, A.: Optimal scheduling for solar wind and pumped storage systems considering imbalance penalty. Energy Sources Part A: Recovery utilization Environ Eff. (2021). https://doi.org/10.1080/15567036.2020.1841854
5. Sewnet, A., Khan, B., Gidey, I., Mahela, O.P., El-Shahat, A., Abdelaziz, A.Y.: Mitigating generation schedule deviation of wind farm using battery energy storage system. Energies 15(1768) (2022)
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