Analysis of The Characteristics And Potential of The Park's Energy Consumption Based On Typical Energy Usage Scenarios

Baozhong Zhou; Dunnan Liu; Sihan Wu; Erfeng Xu; Jingwen Hua

doi:10.1051/e3sconf/202123301003

All issues

Volume 233 (2021)

E3S Web Conf., 233 (2021) 01003

References

Open Access

Issue		E3S Web Conf. Volume 233, 2021 2020 2^nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)


Article Number		01003
Number of page(s)		5
Section		NESEE2020-New Energy Science and Environmental Engineering
DOI		https://doi.org/10.1051/e3sconf/202123301003
Published online		27 January 2021

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[1] YANG Jingw ei, ZHANG Ning, WANG Yi, et al, Multi-energy system towards renew able energy accommodation: Review and prospect [J]. Automation of Electric Pow er Systems, 42(2018) [Google Scholar]

[2] DENG Lirong, SUN Hongbin, CHEN Runze, et al. Research onnodal energy price of combined heat and pow er system for energy internet [J] power System Technology, 40 (2016) [Google Scholar]

[3] ZENG Ming, LIU Yingxin, ZHOU Pengcheng, et al . Review andprospects of integrated energy system modeling and benefit evaluation [J]. Power System Technology, 42 (6):1697-1708. (2018) [Google Scholar]

[4] ZHANG Shixiang, L Shuaikang. Evaluation method of park-level integrated energy system for microgrid [J]. Pow er System Technology, 42 (8): 2431-2439. (2018) [Google Scholar]

[5] CHEN Baisen, LIAO Qingfen, LIU Dichen, et al. Comprehensive evaluation indices and methods for regional integrated energy system [J]. Automation of Electric Power Systems,42 (4): 174-182 (2018) [Google Scholar]

[6] NAVEED Q N, QURESHI M R N, ALSAYED A O, et al. Prioritizing barriers of E-learning for effective teaching-learning using fuzzy analytic hierarchy process (FAHP) [C]/ / 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS). Salmabad: IEEE (2017) [Google Scholar]

[7] GOYAL R.K, KAUSHAL S. Deriving crisp and consistent priorities for fuzzy AHP-based multicriteria systems using non-linearconstrained optimization [J]. Fuzzy Optimization and Decision Making, 17(2): 195-209 (2018) [CrossRef] [Google Scholar]

[8] LIU Si, FU Xuhua, YE Chengjin, et al. Spatial load distribution based on clustering analysis and non-parametric kernel density estimation [J]. Power System Technology, 41(2) :604-609 (2017) [Google Scholar]