[1] |
程祥, 李林芝, 吴浩, 等. 非侵入式负荷监测与分解研究综述[J]. 电网技术, 2016, 40(10): 3108-3117.
|
|
CHENG Xiang, LI Linzhi, WU Hao, et al. A survey of the research on non-intrusive load monitoring and disaggregation[J]. Power System Technology, 2016, 40(10): 3108-3117.
|
[2] |
武昕, 王震. 基于负熵估计的居民用电负荷非侵入式分解算法[J]. 电网技术, 2017, 41(3): 931-937.
|
|
WU Xin, WANG Zhen. A non-intrusive decomposition algorithm for resident power load based on negative entropy estimation[J]. Power System Technology, 2017, 41(3): 931-937.
|
[3] |
WU X, HAN L, WANG Z, et al. A nonintrusive fast residential load identification algorithm based on frequency-domain template filtering[J]. IEEJ Transactions on Electrical and Electronic Engineering, 2017, 12: S125-S133.
|
[4] |
吴郅君, 殷新博, 陈中, 等. 基于模糊聚类曲线相似度的负荷用户识别方法[J]. 电力工程技术, 2019, 38(3): 151-156.
|
|
WU Zhijun, YIN Xinbo, CHEN Zhong, et al. Identification method of load customers based on similarity of fuzzy clustering curves[J]. Electric Power Engineering Technology, 2019, 38(3): 151-156.
|
[5] |
牛卢璐. 基于暂态过程的非侵入式负荷监测[D]. 天津: 天津大学, 2010.
|
|
NIU Lulu. Non-intrusive load monitoring based on transient characteristics[D]. Tianjin: Tianjin University, 2010.
|
[6] |
HART G W. Nonintrusive appliance load monitoring[J]. Proceedings of the IEEE, 1992, 80(12): 1870-1891.
|
[7] |
余贻鑫. 智能电网的技术组成和实现顺序[J]. 南方电网技术, 2009, 3(2): 1-5.
|
|
YU Yixin. Technical composition of smart grid and its implementation sequence[J]. Southern Power System Technology, 2009, 3(2): 1-5.
|
[8] |
FROEHLICH J, LARSON E, GUPTA S, et al. Disaggregated end-use energy sensing for the smart grid[J]. IEEE Pervasive Computing, 2011, 10(1): 28-39.
|
[9] |
崔亮节, 孙毅, 刘耀先, 等. 考虑分时段状态行为的非侵入式负荷分解方法[J]. 电力系统自动化, 2020, 44(5): 215-222.
|
|
CUI Liangjie, SUN Yi, LIU Yaoxian, et al. Non-intrusive load disaggregation method considering time-phased state behavior[J]. Automation of Electric Power Systems, 2020, 44(5): 215-222.
|
[10] |
EGARTER D, ELMENREICH W. Load disaggregation with metaheuristic optimization[C]// Poster Session of Energieinformatik. Germany: IEEE, 2015: 1-12.
|
[11] |
孙毅, 张璐, 赵洪磊, 等. 基于动态自适应粒子群算法的非侵入式家居负荷分解方法[J]. 电网技术, 2018, 42(6): 1819-1826.
|
|
SUN Yi, ZHANG Lu, ZHAO Honglei, et al. A non-intrusive household load monitoring method based on dynamic adaptive particle swarm optimization algorithm[J]. Power System Technology, 2018, 42(6): 1819-1826.
|
[12] |
孙毅, 崔灿, 陆俊, 等. 基于遗传优化的非侵入式家居负荷分解方法[J]. 电网技术, 2016, 40(12): 3912-3917.
|
|
SUN Yi, CUI Can, LU Jun, et al. A non-intrusive household load monitoring method based on genetic optimization[J]. Power System Technology, 2016, 40(12): 3912-3917.
|
[13] |
YU Y X, LI P, ZHAO C L. Non-intrusive method for on-line power load decomposition[C]//2008 China International Conference on Electricity Distribution. 10-13 Dec. 2008, Guangzhou, China. IEEE, 2008: 1-8.
|
[14] |
殷桂梁, 谢家宝, 邵同盟. 基于模糊C均值聚类的非侵入式负荷监测的研究[C]//中国高等学校电力系统及其自动化专业第二十七届学术年会, 2011. 秦皇岛: 燕山大学, 2011: 52-55.
|
[15] |
徐青山, 娄藕蝶, 郑爱霞, 等. 基于近邻传播聚类和遗传优化的非侵入式负荷分解方法[J]. 电工技术学报, 2018, 33(16): 3868-3878.
|
|
XU Qingshan, LOU Oudie, ZHENG Aixia, et al. A non-intrusive load decomposition method based on affinity propagation and genetic algorithm optimization[J]. Transactions of China Electrotechnical Society, 2018, 33(16): 3868-3878.
|
[16] |
TABATABAEI S M, DICK S, XU W. Toward non-intrusive load monitoring via multi-label classification[J]. IEEE Transactions on Smart Grid, 2017, 8(1): 26-40.
|
[17] |
CHANG H H, LIN L S, CHEN N M, et al. Particle-swarm-optimization-based nonintrusive demand monitoring and load identification in smart meters[J]. IEEE Transactions on Industry Applications, 2013, 49(5): 2229-2236.
|
[18] |
KONG W C, DONG Z Y, MA J, et al. An extensible approach for non-intrusive load disaggregation with smart meter data[J]. IEEE Transactions on Smart Grid, 2018, 9(4): 3362-3372.
|
[19] |
余贻鑫, 刘博, 栾文鹏. 非侵入式居民电力负荷监测与分解技术[J]. 南方电网技术, 2013, 7(4): 1-5.
|
|
YU Yixin, LIU Bo, LUAN Wenpeng. Nonintrusive residential load monitoring and decomposition technology[J]. Southern Power System Technology, 2013, 7(4): 1-5.
|
[20] |
LIANG J, NG S K K, KENDALL G, et al. Load signature study: Part I: Basic concept, structure, and methodology[J]. IEEE Transactions on Power Delivery, 2010, 25(2): 551-560.
|
[21] |
LIN Y H, TSAI M S. Development of an improved time–frequency analysis-based nonintrusive load monitor for load demand identification[J]. IEEE Transactions on Instrumentation and Measurement, 2014, 63(6): 1470-1483.
|
[22] |
陈昊, 廖英祺, 张连芹, 等. 基于自适应滤波的信号分离与窄带干扰抑制[J]. 电力工程技术, 2019, 38(2): 129-134.
|
|
CHEN Hao, LIAO Yingqi, ZHANG Lianqin, et al. A method of signal separation and narrowband interference suppression based on adaptive filter[J]. Electric Power Engineering Technology, 2019, 38(2): 129-134.
|
[23] |
黄金鑫, 李华强, 陆杨. 基于蒙特卡洛模拟和频谱分析法的孤岛微电网储能容量配置[J]. 电网技术, 2020, 44(5): 1622-1629.
|
|
HUANG Jinxin, LI Huaqiang, LU Yang. Energy storage capacity configuration of isolated microgrid based on Monte Carlo simulation and spectrum analysis[J]. Power System Technology, 2020, 44(5): 1622-1629.
|
[24] |
涂京, 周明, 宋旭帆, 等. 基于监督学习的非侵入式负荷监测算法比较[J]. 电力自动化设备, 2018, 38(12): 128-134.
|
|
TU Jing, ZHOU Ming, SONG Xufan, et al. Comparison of supervised learning-based non-intrusive load monitoring algorithms[J]. Electric Power Automation Equipment, 2018, 38(12): 128-134.
|
[25] |
陈勇, 李鹏, 张忠军, 等. 基于PCA-GA-LSSVM的输电线路覆冰负荷在线预测模型[J]. 电力系统保护与控制, 2019, 47(10): 110-119.
|
|
CHEN Yong, LI Peng, ZHANG Zhongjun, et al. Online prediction model for power transmission line icing load based on PCA-GA-LSSVM[J]. Power System Protection and Control, 2019, 47(10): 110-119.
|