Open Access
| Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
|---|---|---|
| Article Number | 03021 | |
| Number of page(s) | 5 | |
| Section | Power Engineering and Power Generation Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202019403021 | |
| Published online | 15 October 2020 | |
- G.Y. Fei, Z.X. Lu, Y. Qiao, Automation of Electric Power Systems, An Overview of Photovoltaic Energy System Output Forecasting Technology, 40, 140-151(2016) [Google Scholar]
- S. Zhou, L. Zhou, M. Mao, X. Xi, 2020 IEEE International Conference on Big Data and Smart Computing (BigComp), Transfer Learning for Photovoltaic Power Forecasting with Long Short-Term Memory Neural Network, 125-132 (2020) [Google Scholar]
- H. Zhou, Y. Zhang, L. Yang, Q. Liu, et al. IEEE Access, Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism, 78063-78074 (2019) [Google Scholar]
- Z.L. Ding, C.S. Du, C.H. Zhang, Journal of Power Supply, Configuration Method of Energy Storage to Suppress the PV Power Fluctuation, 24-30 (2014) [Google Scholar]
- P. Chung, J.C. Wang, C.Y. Chou, et al. 2020 8th International Electrical Engineering Congress (iEECON), An intelligent control strategy for energy storage systems in solar power generation based on long-short-term power prediction, 1-4 (2020) [Google Scholar]
- P.C. Qiu, B.M. Ge, D.Q. Bi, Power System Protection and Control, Research on photovoltaic grid-connected power Generation power leveling control based on accumulator storage, 39, 29-33(2011) [Google Scholar]
- Q.Y. Chen, X.J. Li, X.J. Han, Electric Power Construction, A smooth wind power output control strategy for battery energy storage system based on moving average method and wind power volatility constraint, 34, 1-5(2013) [Google Scholar]
- Y.F. Pan, J.H. Yang, Computer Simulation, Power smoothing strategy for wave power generation system based on power prediction method, 35, 68-72(2018) [Google Scholar]
- F. Cheng, S. Willard, J. Hawkins, et al. 2012 IEEE Energytech, Applying battery energy storage to enhance the benefits of photovoltaic, 1-5 (2012) [Google Scholar]
- D. Xu, H. Cen, 2020 Asia Energy and Electrical Engineering Symposium (AEEES), A Hybrid Energy Storage Strategy Based Fuzzy Control to Suppress Power Fluctuation of Grid-Connected Photovoltaic Power System, 776-781 (2020) [Google Scholar]
- Yoga Sandi Perdana, S.M. Muyeen, Ahmed Al-Durra, et al. IEEE Transactions on Sustainable Energy, Direct Connection of Supercapacitor– Battery Hybrid Storage System to the Grid-Tied Photovoltaic System, 1370-1379 (2019) [Google Scholar]
- M. Ding, J.F. Wu, C.Z. Zhu, Proc Chin Soc Elect Eng, Real-time smooth control strategy of energy storage system with soc adjustment function, 33, 22-29(2013) [Google Scholar]
- M.Y. Lei, Z.L. Yang, Y.B. Wang, Transactions of China Electrotechnical Society, Study on energy storage control technology in optical/storage hybrid system, 31, 86-92(2016) [Google Scholar]
- W.T. Jin, H.M. Ma, J.L. Li, Mod Electr Power, Research on the control method of photovoltaic power fluctuation of battery energy storage system, 30, 21-26(2013) [Google Scholar]
- E. Lotfi, A. Khosravi, M. Akbarzadeh-T, et al. 2014 IEEE International Conference on Systems, Wind power forecasting using emotional neural networks, 311-316 (2014) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.