This work is licensed under the Creative Commons Attribution 4.0 International License.
Rangel-Martinez, D., Nigam, K. D. P., & Ricardez-Sandoval, L. A. (2021). Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage. Chemical Engineering Research and Design, 174, 414-441.Search in Google Scholar
Morstyn, T., Hredzak, B., Aguilera, R. P., & Agelidis, V. G. (2017). Model predictive control for distributed microgrid battery energy storage systems. IEEE Transactions on Control Systems Technology, 26(3), 1107-1114.Search in Google Scholar
Tan, J., & Zhang, Y. (2017). Coordinated control strategy of a battery energy storage system to support a wind power plant providing multi-timescale frequency ancillary services. IEEE Transactions on Sustainable Energy, 8(3), 1140-1153.Search in Google Scholar
Wong, L. A., Ramachandaramurthy, V. K., Taylor, P., Ekanayake, J. B., Walker, S. L., & Padmanaban, S. (2019). Review on the optimal placement, sizing and control of an energy storage system in the distribution network. Journal of Energy Storage, 21, 489-504.Search in Google Scholar
Tschörtner, J., Lai, B., & Krömer, J. O. (2019). Biophotovoltaics: green power generation from sunlight and water. Frontiers in microbiology, 10, 866.Search in Google Scholar
Tabatabaei, N. M. (2019). Review of New Energy Sources and Their Applications. International Journal on Technical and Physical Problems of Engineering (IJTPE), 11(4), 66-70.Search in Google Scholar
Zhou, S., Hu, Z., Gu, W., Jiang, M., & Zhang, X. P. (2019). Artificial intelligence based smart energy community management: A reinforcement learning approach. CSEE Journal of Power and Energy Systems, 5(1), 1-10.Search in Google Scholar
Cheng, L., & Yu, T. (2019). A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems. International Journal of Energy Research, 43(6), 1928-1973.Search in Google Scholar
Zhao, S., Blaabjerg, F., & Wang, H. (2020). An overview of artificial intelligence applications for power electronics. IEEE Transactions on Power Electronics, 36(4), 4633-4658.Search in Google Scholar
Byrne, R. H., Nguyen, T. A., Copp, D. A., Chalamala, B. R., & Gyuk, I. (2017). Energy management and optimization methods for grid energy storage systems. IEEE Access, 6, 13231-13260.Search in Google Scholar
Abdalla, A. N., Nazir, M. S., Tao, H., Cao, S., Ji, R., Jiang, M., & Yao, L. (2021). Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview. Journal of Energy Storage, 40, 102811.Search in Google Scholar
Wang, Y., Wang, L., Li, M., & Chen, Z. (2020). A review of key issues for control and management in battery and ultra-capacitor hybrid energy storage systems. ETransportation, 4, 100064.Search in Google Scholar
Choudhury, S. (2022). Review of energy storage system technologies integration to microgrid: Types, control strategies, issues, and future prospects. Journal of Energy Storage, 48, 103966.Search in Google Scholar
Babu, T. S., Vasudevan, K. R., Ramachandaramurthy, V. K., Sani, S. B., Chemud, S., & Lajim, R. M. (2020). A comprehensive review of hybrid energy storage systems: Converter topologies, control strategies and future prospects. IEEE Access, 8, 148702-148721.Search in Google Scholar
Yang, Y., Bremner, S., Menictas, C., & Kay, M. (2022). Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review. Renewable and Sustainable Energy Reviews, 167, 112671.Search in Google Scholar
Hafiz, F., Awal, M. A., de Queiroz, A. R., & Husain, I. (2020). Real-time stochastic optimization of energy storage management using deep learning-based forecasts for residential PV applications. IEEE Transactions on Industry Applications, 56(3), 2216-2226.Search in Google Scholar
Changqing Chen & Lixiong Li.(2024).Frequency Regulation Adaptive Control Strategy of Wind Energy Storage System for Wind Speed Uncertainty.Energies(11),Search in Google Scholar
Baichuan Teng,Jianjun Ma,Miao Zhu,Yayu Yang & Xu Cai.(2023).Fault‐tolerant DC‐DC converter interconnected with energy storage device for bipolar distribution system: Working modes and optimizing control strategy.IET Generation, Transmission & Distribution(19),4258-4276.Search in Google Scholar
Surajkumar Sawai & Shailaja Kurode.(2023).Novel disturbance estimation for robust discrete sliding mode control of DC/DC buck converter with approximate reduced order model.International Journal of Advanced Mechatronic Systems(3),113-123.Search in Google Scholar
Hynes A.,Sapozhnikova E. & Dusparic I..(2020).Optimising PID control with residual policy reinforcement learning.CEUR Workshop Proceedings277-288.Search in Google Scholar
Munawar Hassan,Shafqat Iqbal,Harish Garg,Shahbaz Hassan & Yunxian Yan.(2022).An Integrated FCEM-AHP Approach for Borrower’s Satisfaction and Perception Analysis of Microfinance Institution. Computer Modeling in Engineering & Sciences(1),559-584.Search in Google Scholar