Open Access
| Issue |
E3S Web Conf.
Volume 358, 2022
5th International Conference on Green Energy and Sustainable Development (GESD 2022)
|
|
|---|---|---|
| Article Number | 02038 | |
| Number of page(s) | 4 | |
| Section | Regular Contributions | |
| DOI | https://doi.org/10.1051/e3sconf/202235802038 | |
| Published online | 27 October 2022 | |
- Zhong J, Cao Y, Li Y, et al. Distributed Modeling Considering Uncertainties for Robust Operation of Integrated Energy System[J]. Energy, 2021(1):120179. [CrossRef] [Google Scholar]
- Zhuang W, Zhou S, Gu W, et al. Optimized dispatching of city-scale integrated energy system considering the flexibilities of city gas gate station and line packing[J]. Applied Energy, 2021, 290(3):116689. [CrossRef] [Google Scholar]
- Liu Z, Yu H, Liu R. A novel energy supply and demand matching model in park integrated energy system[J]. Energy, 2019, 176(JUN.1):1007–1019. [CrossRef] [Google Scholar]
- Li J, Yu T, Zhang X, et al. Efficient experience replay based deep deterministic policy gradient for AGC dispatch in integrated energy system[J]. Applied Energy, 2021, 285:116386. [CrossRef] [Google Scholar]
- Li Z, Guo W. Optimal operation of integrated energy system considering user interaction[J]. Electric Power Systems Research, 2020, 187:106505. [CrossRef] [Google Scholar]
- Zeng, Jiang, Liu, et al. Optimal Dispatch of Integrated Energy System Considering Energy Hub Technology and Multi-Agent Interest Balance[J]. Energies, 2019, 12(16):3112. [CrossRef] [Google Scholar]
- Li G, Bie Z, Yu K, et al. Reliability evaluation of integrated energy systems based on smart agent communication[J]. Applied Energy, 2015, 167:397406. [Google Scholar]
- Wang Y, Song F, Ma Y, et al. Research on Capacity Planning and Optimization of Regional Integrated Energy System Based on Hybrid Energy Storage System[J]. Applied Thermal Engineering, 2020, 180(6390):115834. [CrossRef] [Google Scholar]
- Ali R, Lee S, Chung T C. Accurate multi-criteria decision making methodology for recommending machine learning algorithm[J]. Expert Systems with Applications, 2017 71: 257–278. [CrossRef] [Google Scholar]
- Challagulla V, Bastani F B, Yen I L, et al. Empirical assessment of machine learning based software defect prediction techniques[J]. International Journal of Artificial Intelligence Tools, 2015, 17(02):389–400. [Google Scholar]
- Mairal Julien. INCREMENTAL MAJORIZATION-MINIMIZATION OPTIMIZATION WITH APPLICATION TO LARGE-SCALE MACHINE LEARNING. [J]. SIAM Journal on Optimization, 2015, 25(2): 829–855. [CrossRef] [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.