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ISSN 1000-7229
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ELECTRIC POWER CONSTRUCTION ›› 2021, Vol. 42 ›› Issue (9): 120-128.doi: 10.12204/j.issn.1000-7229.2021.09.013
• Smart Grid • Previous Articles Next Articles
ZHAO Yunwen1,2, LI Peng1,2, SUN Yuhao3, SHEN Xin4, YANG Xiaohua4
Received:
2020-12-16
Online:
2021-09-01
Published:
2021-09-02
Contact:
LI Peng
Supported by:
CLC Number:
ZHAO Yunwen, LI Peng, SUN Yuhao, SHEN Xin, YANG Xiaohua. Short-Term Power Load Forecasting Based on Phase Space Reconstruction and Stochastic Configuration Networks[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(9): 120-128.
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[1] | 魏骜, 茅大钧, 韩万里, 等. 基于EMD和长短期记忆网络的短期电力负荷预测研究[J]. 热能动力工程, 2020, 35(4):203-209. |
WEI Ao, MAO Dajun, HAN Wanli, et al. Short-term load forecasting based on EMD and long short-term memory neural networks[J]. Journal of Engineering for Thermal Energy and Power, 2020, 35(4):203-209. | |
[2] | 魏腾飞, 潘庭龙. 基于改进PSO优化LSTM网络的短期电力负荷预测[J/OL]. 系统仿真学报. (2020-09-11) [2020-11-11]. http://kns.cnki.net/kcms/detail/11.3092.V.20200910.1734.013.html. |
WEI Tengfei, PAN Tinglong. Short-term power load forecasting based on LSTM neural network optimized by improved PSO[J/OL]. Journal of System Simulation. (2020-09-11) [2020-11-11]. http://kns.cnki.net/kcms/detail/11.3092.V.20200910.1734.013.html. | |
[3] | 赵冬梅, 马泰屹, 王闯. 基于相空间重构和长短期记忆算法的电力系统无功负荷预测模型[J]. 现代电力, 2020, 37(5):470-477. |
ZHAO Dongmei, MA Taiyi, WANG Chuang. Reactive load forecasting model based on PSR-LSTM in power system[J]. Modern Electric Power, 2020, 37(5):470-477. | |
[4] |
MEI F, WU Q L, SHI T, et al. An ultrashort-term net load forecasting model based on phase space reconstruction and deep neural network[J]. Applied Sciences, 2019, 9(7):1487.
doi: 10.3390/app9071487 URL |
[5] | 杨捷, 罗成臣, 张思路, 等. 相空间重构和SVR耦合的短期电力负荷预测[J]. 电测与仪表, 2020, 57(16):96-100. |
YANG Jie, LUO Chengchen, ZHANG Silu, et al. Short-term load forecasting based on phase space reconstruction and SVR coupling model[J]. Electrical Measurement & Instrumentation, 2020, 57(16):96-100. | |
[6] | 蔡舒平, 闫静, 刘国海, 等. 基于Fisher信息和在线SVR的智能电网气象敏感负荷预测动态建模技术[J]. 中国电机工程学报, 2020, 40(11):3441-3452. |
CAI Shuping, YAN Jing, LIU Guohai, et al. A dynamic modeling methodology based on fisher information and on-line SVR for smart grids weather sensitive load forecasting[J]. Proceedings of the CSEE, 2020, 40(11):3441-3452. | |
[7] | 陈吕鹏, 殷林飞, 余涛, 等. 基于深度森林算法的电力系统短期负荷预测[J]. 电力建设, 2018, 39(11):42-50. |
CHEN Lüpeng, YIN Linfei, YU Tao, et al. Short-term power load forecasting based on deep forest algorithm[J]. Electric Power Construction, 2018, 39(11):42-50. | |
[8] | 孔祥玉, 李闯, 郑锋, 等. 基于经验模态分解与特征相关分析的短期负荷预测方法[J]. 电力系统自动化, 2019, 43(5):46-52. |
KONG Xiangyu, LI Chuang, ZHENG Feng, et al. Short-term load forecasting method based on empirical mode decomposition and feature correlation analysis[J]. Automation of Electric Power Systems, 2019, 43(5):46-52. | |
[9] | 苏适, 周立栋, 万筱钟, 等. 计及气象因素的用电负荷短期分时分类预测模型与方法[J]. 电力建设, 2017, 38(10):76-83. |
SU Shi, ZHOU Lidong, WAN Xiaozhong, et al. Time-sharing and classified prediction model for Short Term load considering meteorological factors[J]. Electric Power Construction, 2017, 38(10):76-83. | |
[10] |
MORENO-CARBONELL S, SÁNCHEZ-ÚBEDA E F, MUÑOZ A. Rethinking weather station selection for electric load forecasting using genetic algorithms[J]. International Journal of Forecasting, 2020, 36(2):695-712.
doi: 10.1016/j.ijforecast.2019.08.008 URL |
[11] |
LI B, LU M Z, ZHANG Y Y, et al. A weekend load forecasting model based on semi-parametric regression analysis considering weather and load interaction[J]. Energies, 2019, 12(20):3820.
doi: 10.3390/en12203820 URL |
[12] |
PEI S Q, QIN H, YAO L Q, et al. Multi-step ahead short-term load forecasting using hybrid feature selection and improved long short-term memory network[J]. Energies, 2020, 13(16):4121.
doi: 10.3390/en13164121 URL |
[13] | 周松林, 茆美琴, 苏建徽. 基于主成分分析与人工神经网络的风电功率预测[J]. 电网技术, 2011, 35(9):128-132. |
ZHOU Songlin, MAO Meiqin, SU Jianhui. Prediction of wind power based on principal component analysis and artificial neural network[J]. Power System Technology, 2011, 35(9):128-132. | |
[14] | 黄伟建, 李永涛, 黄远. 基于混合神经网络和注意力机制的混沌时间序列预测[J]. 物理学报, 2021, 70(1):235-243. |
HUANG Weijian, LI Yongtao, HUANG Yuan. Prediction of chaotic time series using hybrid neural network and attention mechanism[J]. Acta Physica Sinica, 2021, 70(1):235-243. | |
[15] |
WOLF A, SWIFT J B, SWINNEY H L, et al. Determining Lyapunov exponents from a time series[J]. Physica D: Nonlinear Phenomena, 1985, 16(3):285-317.
doi: 10.1016/0167-2789(85)90011-9 URL |
[16] |
CAO L Y. Practical method for determining the minimum embedding dimension of a scalar time series[J]. Physica D: Nonlinear Phenomena, 1997, 110(1/2):43-50.
doi: 10.1016/S0167-2789(97)00118-8 URL |
[17] |
FATHIMA T A, JOTHIPRAKASH V. Behavioural analysis of a time series-A chaotic approach[J]. Sadhana, 2014, 39(3):659-676.
doi: 10.1007/s12046-014-0249-2 URL |
[18] | 龚祝平. 制造质量信息系统重构相空间延迟时间计算方法的对比[J]. 系统工程, 2011, 29(3):81-85. |
GONG Zhuping. Comparison of the calculating methods of delay time in the reconstructed phase space of manufacturing quality information system[J]. Systems Engineering, 2011, 29(3):81-85. | |
[19] | 吕小青, 曹彪, 曾敏, 等. 确定延迟时间互信息法的一种算法[J]. 计算物理, 2006, 23(2):184-188. |
LÜ Xiaoqing, CAO Biao, ZENG Min, et al. An algorithm of selecting delay time in the mutual information method[J]. Chinese Journal of Computational Physics, 2006, 23(2):184-188. | |
[20] |
GHORBANI M A, KISI O, AALINEZHAD M. A probe into the chaotic nature of daily streamflow time series by correlation dimension and largest Lyapunov methods[J]. Applied Mathematical Modelling, 2010, 34(12):4050-4057.
doi: 10.1016/j.apm.2010.03.036 URL |
[21] |
WANG D H, LI M. Stochastic configuration networks: Fundamentals and algorithms[J]. IEEE Transactions on Cybernetics, 2017, 47(10):3466-3479.
doi: 10.1109/TCYB.2017.2734043 URL |
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