Open Access
Issue
E3S Web Conf.
Volume 256, 2021
2021 International Conference on Power System and Energy Internet (PoSEI2021)
Article Number 02018
Number of page(s) 5
Section Energy Internet R&D and Smart Energy Application
DOI https://doi.org/10.1051/e3sconf/202125602018
Published online 10 May 2021
  1. Wang, Y., Wang, Y., Huang, Y., Yu, H., Du, R., Zhang, F., Zhang, F., Zhu, J. (2019). Optimal Scheduling of the Regional Integrated Energy System Considering Economy and Environment. IEEE Transactions on Sustainable Energy, 10(4): 1939–1949. [Google Scholar]
  2. Sharma, S., Verma, A., Xu, Y., Panigrahi, B. K. (2021). Robustly Coordinated Bi-Level Energy Management of a Multi-Energy Building Under Multiple Uncertainties. IEEE Transactions on Sustainable Energy, 12(1): 3–13. [Google Scholar]
  3. Chen, H., Meng, K., Qiu, J., Dong, Z. Y. (2018). Expansion Co-Planning of Integrated ElectricityHeat-Gas Networks in District Energy Systems. In: 2018 IEEE Power & Energy Society General Meeting (PESGM). Portland. pp. 1–5. [Google Scholar]
  4. Saelens, D., Parys, W., Baetens, R. (2011). Energy and comfort performance of thermally activated building systems including occupant behavior. Building and Environment, 46(4): 835–848. [Google Scholar]
  5. Wang, X. W., Gong, Y. F. (2017). User-side load fast precise dispatching model based on contracts and direct load control. In: 2017 2nd International Conference on Power and Renewable Energy (ICPRE). Chengdu. pp. 747–751. [Google Scholar]
  6. Li, Z., Wu, W., Zhang, B., Tai, X. (2018). Capacity guaranteed control method for air conditioning cluster joining power grid frequency regulation. The Journal of Engineering, 2018(17): 1884–1888. [Google Scholar]
  7. Zhu, L., Wu, W., Li, Z., Liu, W., Li, L. (2019). Air-Conditioning Optimal Scheduling Based on Finite Difference Thermal Model. In: 2019 IEEE Sustainable Power and Energy Conference (ISPEC). Beijing. pp. 469–476. [Google Scholar]
  8. Haiming W., Ke M., Feng J., Zhao Y., Verbič, G., Zhao X, Wong, K. (2013). Demand response through smart home energy management using thermal inertia. In: 2013 Australasian Universities Power Engineering Conference (AUPEC). Hobart. pp. 1–6. [Google Scholar]
  9. Hundy, G., Trott, A., Welch, T. (2008). Refrigeration and Air-Conditioning. [Google Scholar]
  10. Steer, K., Wirth, A., Halgamuge, S. (2011). Control period selection for improved operating performance in district heating networks. Energy and Buildings, 43(2–3): 605–613. [Google Scholar]
  11. Yang, B., Zhou, X., Cao, X., Zhi, Y., Ding, Y. (2018). A power flow analysis method for the integrated electricity-heat system in distribution network based on forward/backward iterations. In: 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2). Beijing. pp. 1–5. [Google Scholar]
  12. Liu, X., Wu, J., Jenkins, N., Bagdanavicius, A. (2016). Combined analysis of electricity and heat networks. Applied Energy, 16(2): 1238–1250. [Google Scholar]
  13. Ju, Y., Wang, J., Zhang, Z., Huang, Y. (2020). A Calculation Method for Three-Phase Power Flow in Micro-Grid Based on Smooth Function. IEEE Transactions on Power Systems, 35(6): 4896–4903. [Google Scholar]
  14. Kersting, W. H. (2001). Radial distribution test feeders. 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings, 2(2): 908–912. [Google Scholar]
  15. Byrd, R., Nocedal, J., Waltz, R. A. (2006). Knitro: An Integrated Package for Nonlinear Optimization. Large-Scale Nonlinear Optimization 83(5): 35–59. [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.