[1] 盛万兴, 史常凯, 孙军平, 等. 智能用电中自动需求响应的特征及研究框架[J]. 电力系统自动化, 2013, 37(23):1-7. SHENG Wanxing, SHI Changkai, SUN Junping, et al. Characteristics and research framework of automated demand response in smart utilization[J]. Automation of Electric Power System, 2013, 37(23):1-7. [2] LI S, ZHANG D. Developing smart and real-time demand response mechanism for residential energy consumers[C]//Power Systems Conference, Clemson, SC, USA, IEEE, 2014:1–5. [3] 王思彤, 周晖, 袁瑞铭, 等. 智能电表的概念及应用[J]. 电网技术, 2010, 34(4):17-23. WANG Sitong, ZHOU Hui, YUAN Ruiming, et al. Concept and application of smart meter[J]. Power System Technology, 2010, 34(4):17-23. [4] 陈丽安, 张培铭, 雷德森. 人工智能在电气设备中的应用现状与前景展望[J]. 电网技术, 2000, 24(7):21-24. CHEN Lian, ZHANG Peiming, LEI Desen. Application and prospect of artificial intelligent in electrlcal equipments[J]. Power System Technology, 2000, 24(7):21-24. [5] 罗涌涛. 用电信息采集系统应用现状及发展趋势[J]. 科技尚品, 2017(9):61-66. LUO Yongtao. Current situation and development trend of the application of electrical information acquisition system[J]. Premiere, 2017(9):61-66. [6] SATYANARAYANAN M. Edge computing[J]. Computer, 2017, 50(10):36-38. [7] LEE Jaehun, LEE Hochul, LEE Young Choon, et al. Platform support for mobile edge computing[C]//IEEE International Conference on Cloud Computing. 2017:624–631. [8] 工业与信息化部. 中国制造2025[EB/OL]. (2017-12-15)[2017-11-02]. http://www.miit.gov.cn/n973401/n1234620/n1234622/c4409653/content.html, 2015(9). [9] 国家能源局. 能源发展"十三五"规划[EB/OL]. (2017-12-15)[2017-11-02]. http://www.ndrc.gov.cn/zcfb/zcfbghwb/201701/t20170117_835296.html, 2016. [10] 李建锋, 牛东晓, 吴倩, 等. 基于CPS的电力供需互动技术及平台发展[J]. 中国电力, 2017, 50(6):82-87. LI Jianfeng, NUI Dongxiao, WU Qian, et al. The development of power supply and demand interaction technology and platform based on CPS[J]. Electric Power, 2017, 50(6):82-87. [11] 王计艳, 王晓周, 吴倩, 等. 面向NB-IoT的核心网业务模型和组网方案[J]. 电信科学, 2017, 33(4):148-154. WANG Jiyan, WANG Xiaozhou, WU Qian, et al. Core network service model and networking scheme oriented NB-IoT[J]. Telecommunications Science, 2017, 33(4):148-154. [12] SUBRAMANYA T, GORATTI L, KHAN S N, et al. A practical architecture for mobile edge computing[C]//IEEE Conference on Network Function Virtualization and Software Defined Networks. IEEE, 2017:1–4. [13] ALIU O G, NIEPHAUS C, KRETSCHMER M. Wireless backhaul for mobile edge computing[C]//IEEE Netsoft Conference and Workshops. IEEE, 2016:349–350. [14] ANSARI N, SUN X. Mobile edge computing empowers internet of things[R]. Ieice Transactions on Communications, 2017. [15] 李彬, 贾滨诚, 曹望璋, 等. 边缘计算在电力需求响应业务中的应用展望[J]. 电网技术, 2018, 42(1):79-87. LI Bin, JIA Bincheng, CAO Wangzhang, et al. Application prospect of edge computing in power demand response business[J]. Power System Technology, 2018, 42(1):79-87. [16] 祁兵, 夏琰, 李彬, 等. 基于边缘计算的家庭能源管理系统:架构、关键技术及实现方式[J]. 电力建设, 2018, 39(3):33-41. QI Bin, XIA Yan, LI Bin, et al. Family energy management system based on edge computing:architecture, key technology and implementation[J]. Electric Power Construction, 2018, 39(3):33-41. [17] 李栋. 边缘计算在智能制造中的解决方案[J]. 自动化博览, 2017(1):74-77. LI Dong. Edge computing solutions in smart manufacturing[J]. Automation Panorama, 2017(1):74-77. [18] LI H, SHOU G, HU Y, et al. Mobile edge computing:progress and challenges[C]//IEEE International Conference on Mobile Cloud Computing, Services, and Engineering. IEEE, 2016:83–84. [19] 施巍松, 孙辉, 曹杰, 等. 边缘计算_万物互联时代新型计算模型[J]. 计算机研究与发展, 2017, 54(5):907-924. SHI Weisong, SUN Hui, CAO Jie, et al. Edge computing-an emerging computing model for the internet of everything[J]. Journal of Computer Research and Development, 2017, 54(5):907-924. [20] 高赐威, 曹晓峻, 闫华光, 等. 数据中心电能管理及参与需求侧资源调度的展望[J]. 电力系统自动化, 2017, 41(23):1-7. GAO Ciwei, CAO Xiaojun, YAN Huaguang, et al. Energy management of date center and prospect for participation in demand side resource scheduling[J]. Automation of Electric Power Systems, 2017, 41(23):1-7. [21] BUYYA R, YEO C S, VENUGOPAL S, et al. Cloud computing and emerging IT platforms:Vision, hype, and reality for delivering computing as the 5th utility[J]. Future Generation Computer Systems, 2009, 25(6):599-616. [22] SATRIA D, PARK D, JO M. Recovery for overloaded mobile edge computing[J]. Future Generation Computer Systems, 2017, 70(5):138-147. [23] The digital universe of opportunitise:Rich data and the increasing value of the Internet of Things[EB/OL]. (2017-12-18)[2016-12-03]. https://www.emc.com/collateral/analyst-reports/idc-digital-universe-2014.pdf. [24] CORTES R, BONNAIRE X, MARIN O, et al. Stream processing of healthcare sensor data:studying user traces to identify challenges from a big data perspective[J]. Procedia Computer Science, 2015, 52(1):1004-1009. [25] 国家电网公司, 信息通信新技术推动智能电网和"一强三优"现代公司创新发展行动计划[EB/OL]. (2017-12-18)[2017-11-05]. http://www.sgcc.com.cn/xwzx/gsyw/2015/09/329101.shtml. 2015(9). [26] 边缘计算产业联盟, 边缘计算产业联盟白皮书[EB/OL]. (2017-12-18)[2017-11-05]. http://www.ecconsortium.net/Lists/index/cid/11.html. 2016(12). [27] STANCIU A. Blockchain based distributed control system for edge computing[C]//International Conference on Control Systems and Computer Science, IEEE, 2017:667–671. [28] 边缘计算产业联盟, 边缘计算参考架构2.0[EB/OL]. (2018-04-05)[2018-02-09]. http://www.ecconsortium.net/Lists/index/cid/11.html. 2017(12). [29] 王锡凡, 肖云鹏, 王秀丽. 新形势下电力系统供需互动问题研究及分析[J]. 中国电机工程学报, 2014, 34(29):5018-5028. WANG Xifan, XIAO Yunpeng, WANG Xiuli. Study and analysis on supply-demand interaction of power systems under new circumstances[J]. Proceedings of the CSEE, 2014, 34(29):5018-5028. [30] 高赐威, 梁甜甜, 李扬. 自动需求响应的理论与实践综述[J]. 电网技术, 2014, 38(2):352-359. GAO Ciwei, LIANG Tiantian, LI Yang. A survey on theory and practice of automated demand response[J]. Power System Technology, 2014, 38(2):352-359. [31] 夏元兴, 王庆泽, 普月, 等. 电力市场环境下家庭智慧能源网关概念及设计[J]. 无线互联科技, 2017(5):31-32. XIA Yuanxing, WANG Qingze, PU Yue, et al. Concept and design of homrgy ge intelligent eneateway in electricity market environment[J]. Wireless Internet Technology, 2017(5):31-32. [32] 王伯勇. 基于云计算的智慧家庭能源管理系统架构及功能研究[J]. 绿色科技, 2014(5):277-279. WANG Boyong. Introduction to structure and functions of smart home energy mangement system based on cloud computing[J]. Journal of Green Science and Technology, 2014(5):277-279. [33] 曾鸣.电力需求侧管理的激励机制及其应用[M]. 北京:中国电力出版社, 2002. [34] 史湘谊, 李颖, 王春宁, 等. 基于电力需求响应的负荷管理系统[J]. 电力工程技术, 2013, 32(6):59-61. SHI Xiangyi, LI Ying, WANG Chunning, et al. Load management system based on demand response[J]. Electric Power Engineering Technology, 2013, 32(6):59-61. [35] 颜庆国, 薛溟枫, 范洁, 等. 有序用电用户负荷特性分析方法研究[J]. 电力工程技术, 2014, 33(6):48-50. YAN Qingguo, XUE Mingfeng, FAN Jie, et al. Load property analysis method for demanders participating orderly power utilization[J]. Electric Power Engineering Technology, 2014, 33(6):48-50. |