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Dongxiao Niu
Dong-Xiao Niu
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2020 – today
- 2024
- [j26]Xiwen Cui, Xiaodan Zhang, Dongxiao Niu:
A new framework for ultra-short-term electricity load forecasting model using IVMD-SGMD two-layer decomposition and INGO-BiLSTM-TPA-TCN. Appl. Soft Comput. 167: 112311 (2024) - 2023
- [j25]Keke Wang
, Min Yu, Dongxiao Niu, Yi Liang
Short-term electricity price forecasting based on similarity day screening, two-layer decomposition technique and Bi-LSTM neural network. Appl. Soft Comput. 136: 110018 (2023) - 2022
- [j24]Zhengsen Ji
A three-stage framework for vertical carbon price interval forecast based on decomposition-integration method. Appl. Soft Comput. 116: 108204 (2022) - [c48]Zhuxiao Tian, Xiwen Cui, Dongyu Wang, Dongxiao Niu, Huanfen Zhang:
Development of High-dimensional Data Sparse Modeling in Data Space and Its Application in Manufacturing Multi-value Chain Collaboration. CSCWD 2022: 71-76 - [c47]Dongyu Wang, Sha Peng, Zhuxiao Tian, Dongxiao Niu:
Analysis of Influencing Factors of Multi-value Chain Collaborative Operation Efficiency in Power Manufacturing Industry Based on FISM-ANP. CSCWD 2022: 101-106 - [c46]Yujing Liu, Tian Gao, Dongxiao Niu, Huanfen Zhang:
Research on Collaborative Governance of Data Security in the Whole Life Cycle of Electric Power Manufacturing Data Space. CSCWD 2022: 119-126 - [c45]Yuntian Liu, Dongxiao Niu, Shiping Geng, Jingqi Sun, Huanfen Zhang:
Application of Data Integration in Dataspace in Multi-value Chain Collaboration of Electric Power Manufacturing Industry. CSCWD 2022: 292-298 - [c44]Xiwen Cui, Dongxiao Niu:
A Study on Multimodal Data Fusion Based on Data Space for Power Equipment Identification. CSCWD 2022: 471-476 - [c43]Tian Gao, Zhengsen Ji, Dongxiao Niu, Yulian Xi:
Research on product sales forecasting based on multi-value chain collaborative data management system in manufacturing industry. ICEBE 2022: 86-93 - 2021
- [c42]Shiping Geng, Yuntian Liu, Dongxiao Niu, Xiaopeng Guo:
Research on Data Acquisition and Processing Under the Coordination of Multiple Value Chains in the Manufacturing Industry - Taking the Electric Vehicle Manufacturing Industry as an Example. CCIS 2021: 9-14 - [c41]Mingyu Li, Yujing Liu, Zhengsen Ji, Dongxiao Niu, Huanfen Zhang:
Daily Load Forecasting of Electric Power Manufacturing Industry Considering Disaster Weather Recognition Under the Deep Learning. CCIS 2021: 243-249 - [c40]Dongxiao Niu, Min Yu, Ruoyun Du, Lijie Sun, Xiaomin Xu, Huanfen Zhang:
Manufacturing Multi-value Chain Product Demand Forecasting Based on KPCA-PSO-SVM : -Taking the Demand of the Ring Network Cabinet as an Example. CCIS 2021: 324-329 - [c39]Zhuxiao Tian, Zhengsen Ji, Shiping Geng, Dongxiao Niu:
Prediction of Time-Delay GM (1, N) Cost Trend of Power Grid Engineering Based on Macro-environmental Impact. CSIA (2) 2021: 84-91 - [c38]Shiping Geng, Zhuxiao Tian, Zhengsen Ji, Dongxiao Niu, Xiaopeng Guo:
Project Cost Prediction of Overhead Line Based on Big Data Analysis of Power Grid Engineering. CSIA (1) 2021: 557-566 - [c37]Zhengsen Ji, Shiping Geng, Zhuxiao Tian, Dongxiao Niu:
Cost Forecast of Intelligent Substation Project Based on Index Evaluation and Artificial Bee Colony Optimized Support Vector Regression. CSIA (1) 2021: 754-761 - 2020
- [j23]Dongxiao Niu, Keke Wang
Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study. Appl. Soft Comput. 93: 106389 (2020)
2010 – 2019
- 2019
- [j22]Dunnan Liu, Weidong Zhao, Qian Zhang, Jiawei Zhao, Luqing Liu, Huiwen Hu, Dongxiao Niu:
Economic evaluation of power system dispatch with hesitant fuzzy uncertain linguistic information. J. Intell. Fuzzy Syst. 37(2): 1761-1768 (2019) - [c36]Chenghao Yuan, Dongxiao Niu, Changzu Li, Lijie Sun, Longxiu Xu:
Electricity Consumption Prediction Model Based on Bayesian Regularized BP Neural Network. CSIA 2019: 528-535 - [c35]Chen Wu, Bing-Jie Li, Qian Ma, Yin Wu, Hong-Da Zhao, Dong-Xiao Niu, Hao Zhen, Zhuoya Siqin:
Analysis of Factors Affecting Construction Cost of Line Engineering and Cost Control Strategy. CSIA 2019: 945-954 - 2017
- [j21]Dongxiao Niu, Tiannan Ma, Bingyi Liu:
Power load forecasting by wavelet least squares support vector machine with improved fruit fly optimization algorithm. J. Comb. Optim. 33(3): 1122-1143 (2017) - [j20]Zongyun Song, Xinli Xiao, Dongxiao Niu:
Distributed power generation programming with waste incineration generation and hybrid energy storage equipment. J. Intell. Fuzzy Syst. 33(4): 2269-2279 (2017) - [j19]Xiaomin Xu, Dongxiao Niu, Qiong Wang, Peng Wang, Desheng Dash Wu:
Intelligent Forecasting Model for Regional Power Grid With Distributed Generation. IEEE Syst. J. 11(3): 1836-1845 (2017) - 2016
- [j18]Zongyun Song, Dongxiao Niu, Jinpeng Qiu, Xinli Xiao, Tiannan Ma:
Improved short-term load forecasting based on EEMD, Guassian disturbance firefly algorithm and support vector machine. J. Intell. Fuzzy Syst. 31(3): 1709-1719 (2016) - 2014
- [j17]Wei Wang, Qinliang Tan, Qingguo Ma, Dongxiao Niu, Yan Lu:
Study on the development and intelligent prediction model of green electricity market in China. Int. J. Comput. Appl. Technol. 50(3/4): 281-286 (2014) - [j16]Ming Meng
Monthly Electric Energy Consumption Forecasting Using Multiwindow Moving Average and Hybrid Growth Models. J. Appl. Math. 2014: 243171:1-243171:7 (2014) - 2013
- [j15]Dongxiao Niu, Yanan Wei:
An Improved Short-Term Power Load Combined Forecasting With ARMA-GRACH-ANN- SVM. J. Softw. 8(3): 716-723 (2013) - 2012
- [j14]Dongxiao Niu, Hui-feng Shi, Desheng Dash Wu
Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm. Appl. Soft Comput. 12(6): 1822-1827 (2012) - [j13]Wenqing Zhao, Fei Wang, Dongxiao Niu:
The Application of Support Vector Machine in Load Forecasting. J. Comput. 7(7): 1615-1622 (2012) - [j12]Dongxiao Niu, Ling Ji, Mian Xing, Jianjun Wang
Multi-variable Echo State Network Optimized by Bayesian Regulation for Daily Peak Load Forecasting. J. Networks 7(11): 1790-1795 (2012) - [j11]Dongxiao Niu, Ling Ji, Yongli Wang, Da Liu
Echo state network with wavelet in load forecasting. Kybernetes 41(10): 1557-1570 (2012) - [c34]Qian Zhang, Kin Keung Lai
A Fuzzy Group Forecasting Model Based on BPNN for Wind Power Output. BIFE 2012: 1-5 - [c33]Qiang Wang, Kin Keung Lai
A Triple Artificial Neural Network Model Based on Case Based Reasoning for Credit Risk Assessment. BIFE 2012: 10-14 - [c32]Qian Zhang, Kin Keung Lai
Wind Park Power Forecasting Models and Comparison. CSO 2012: 27-31 - [c31]Qiang Wang, Kin Keung Lai
A Multivariate Wind Power Forecasting Model Based on LS-SVM. CSO 2012: 127-131 - 2011
- [j10]Yongli Wang, Dongxiao Niu, Ling Ji:
Power load forecasting using data mining and knowledge discovery technology. Int. J. Intell. Inf. Database Syst. 5(5): 452-467 (2011) - [j9]Dongxiao Niu, Zhihong Gu:
An empirical analysis of electricity consumption intensity based on structure factor and efficiency factor. Int. J. Inf. Technol. Manag. 10(1): 94-104 (2011) - [c30]Yongli Wang, Dongxiao Niu, Ling Ji:
Optimization of Short-Term Load Forecasting Based on Fractal Theory. ACIIDS Posters 2011: 175-186 - [c29]Dongxiao Niu, Yanan Wei, HuanHuan Qiao, Fang Fang:
Combined Forecast for Wind Power Short-Term Load Based on Gray Neural Network Trained by Particle Swarm Optimization. CSISE (3) 2011: 383-387 - [p2]Yuanying Chi, Benkun Chi, Xiangyang Li, Dongxiao Niu:
Investment Cost Analysis for Key Industries of New Energy Based on Boston Experience Curve. Modeling Risk Management in Sustainable Construction 2011: 191-196 - 2010
- [j8]Dongxiao Niu, Da Liu
A soft computing system for day-ahead electricity price forecasting. Appl. Soft Comput. 10(3): 868-875 (2010) - [j7]Dongxiao Niu, Yongli Wang, Desheng Dash Wu
Power load forecasting using support vector machine and ant colony optimization. Expert Syst. Appl. 37(3): 2531-2539 (2010) - [j6]Yongli Wang, Dongxiao Niu, Xiaoyong Ma:
Optimizing of SVM with Hybrid PSO and Genetic Algorithm in Power Load Forecasting. J. Networks 5(10): 1192-1200 (2010) - [j5]Dong-Xiao Niu, Ying-Chun Guo:
An Improved PSO for Parameter Determination and Feature Selection of SVR and its Application in STLF. J. Multiple Valued Log. Soft Comput. 16(6): 567-584 (2010) - [c28]Yongli Wang, Dongxiao Niu, Yakun Wang:
Power Load Forecasting Using Data Mining and Knowledge Discovery Technology. ACIIDS (1) 2010: 319-328 - [c27]Dongxiao Niu, Yanan Wei, Jianqing Li, Cong Xu, Junfang Wu:
Game Analysis of Inter-regional Electricity Trade Cooperative Based on Shapley Model. ICEE 2010: 4078-4080 - [c26]Dongxiao Niu, Yanan Wei, Jianqing Li, Cong Xu, Junfang Wu:
Analysis of Electricity Demand Forecasting in Inner Mongolia Based on Gray Markov Model. ICEE 2010: 5082-5085 - [c25]Wenqing Zhao, Sheng-Long Zhang, Dong-Xiao Niu:
Multi-agent and Bayesian network applied in transformer faults diagnosis. ICMLC 2010: 43-46 - [c24]Dongxiao Niu, Hanmei Wang, Yanan Wei:
Analysis of power load combination forecasting model based on improved particle swarm optimization. ICNC 2010: 2591-2594 - [c23]Dongxiao Niu, Cong Xu, Jianqing Li, Yanan Wei:
Application of Short-Term Load Forecasting Based on Improved Gray-Markov Residuals Amending of BP Neural Network. ICSI (2) 2010: 564-569 - [p1]Yongli Wang, Dongxiao Niu, Mian Xing:
Risk Management Evaluation Based on Elman Neural Network for Power Plant Construction Project. Advances in Intelligent Information and Database Systems 2010: 315-324
2000 – 2009
- 2009
- [j4]Dongxiao Niu, Jinchao Li, Jinying Li, Da Liu
Middle-long power load forecasting based on particle swarm optimization. Comput. Math. Appl. 57(11-12): 1883-1889 (2009) - [j3]Dongxiao Niu, Jianjun Wang:
Combination of Text Mining and Corrective Neural Network in Short-term Load Forecasting. J. Comput. 4(12): 1188-1194 (2009) - [j2]Dongxiao Niu, Yongli Wang, Chunming Duan, Mian Xing:
A New Short-term Power Load Forecasting Model Based on Chaotic Time Series and SVM. J. Univers. Comput. Sci. 15(13): 2726-2745 (2009) - [j1]Da Liu
Combined models for day-ahead electricity price forecasting based on improved gray correlation methodology. Kybernetes 38(3/4): 354-361 (2009) - [c22]Ying-Chun Guo, Dong-Xiao Niu:
Short-Term Load Forecasting Using Support Vector Regression Based on Pattern-Base. ACIIDS 2009: 336-340 - [c21]Dongxiao Niu, Yongli Wang:
A New Model to Short-Term Power Load Forecasting Combining Chaotic Time Series and SVM. ACIIDS 2009: 420-425 - [c20]Jianjun Wang, Dong-Xiao Niu, Li Li:
An ARMA Cooperate with Artificial Neural Network Approach in Short-Term Load Forecasting. ICNC (1) 2009: 60-64 - [c19]Dongxiao Niu, Haitao Lv, Yunyun Zhang:
Combination Forecasting Model for Mid-long Term Load Based on Least Squares Support Vector Machines and a Mended Particle Swarm Optimization Algorithm. IJCBS 2009: 525-528 - [c18]Dongxiao Niu, Bingen Kou, Yunyun Zhang, Zhihong Gu:
A Short-Term Load Forecasting Model Based on LS-SVM Optimized by Dynamic Inertia Weight Particle Swarm Optimization Algorithm. ISNN (2) 2009: 242-250 - [c17]Dongxiao Niu, Zhihong Gu, Yunyun Zhang:
An AFSA-TSGM Based Wavelet Neural Network for Power Load Forecasting. ISNN (3) 2009: 1034-1043 - [c16]Shuai Lin, Dongxiao Niu:
Empirical Study on Electric Power Customer Satisfaction Based on Kano Model. SSME 2009: 136-139 - 2008
- [c15]Dongxiao Niu, Yongli Wang, Zhihong Gu:
Support vector machines based on Lyapunov exponents in power load forecasting model. APCCAS 2008: 368-371 - [c14]Dongxiao Niu, Yongli Wang, Xiaoyong Ma:
Power plant construction project safety management evaluation with fuzzy neural network model. APCCAS 2008: 489-492 - [c13]Yong-li Wang, Dong-Xiao Niu, Jiang-Yan Liu:
Optimization of Artificial Neural Networks Based on Chaotic Time Series in Power Load Forecasting Model. ICNC (2) 2008: 106-110 - [c12]Dongxiao Niu, Wei Li, Zhu-Hua Han, Xiu-e Yuan:
Power Load Forecasting Based on Improved Genetic Algorithm-GM(1, 1) Model. ICNC (1) 2008: 630-634 - [c11]Chun-Xiang Li, Dong-Xiao Niu, Li-Min Meng:
Rough Set Combine BP Neural Network in Next Day Load Curve Forcasting. ISNN (2) 2008: 1-10 - [c10]Yongli Wang, Dongxiao Niu, Weijun Wang:
SVM Model Based on Particle Swarm Optimization for Short-Term Load Forecasting. ISNN (2) 2008: 642-649 - 2007
- [c9]Dongxiao Niu, Mian Xing:
Research on Neural Networks Based on Culture Particle Swarm Optimization and Its Application in Power Load Forecasting. ICNC (1) 2007: 270-274 - [c8]Dongxiao Niu, Jinchao Li, Mian Xing:
Distribution Center Location Decision-making Based on PCA and Support Vector Machine Approach. ICNC (1) 2007: 553-557 - [c7]Dongxiao Niu, Jinchao Li, Jinying Li:
Middle - long Electric Power Load Forecasting Based on Co-integration and Support Vector Machine. ICNC (1) 2007: 596-600 - [c6]Dongxiao Niu, Xihua Gu:
Raw Material Purchase and Storage Optimization System Based on Chaos Immune Algorithm. IMECS 2007: 250-255 - [c5]Dongxiao Niu, Xihua Gu:
Application of Linear Programming Techniques for Multidimensional Analysis of Preference - Kernel Principal Component Analysis Model in Wastewater Treatment. IMECS 2007: 2318-2322 - [c4]Ming Zhou, Jianwen Ren, Jianxun Qi, Dongxiao Niu, Gengyin Li:
CommonKADS Methodology for Developing Power Grid Switching Orders Systems. PAKDD Workshops 2007: 87-98 - 2006
- [c3]Wei Li, Renhui Huang, Jie Bai, Xiue Yuan, Dongxiao Niu:
A New Intelligent Method for Power Load Forecasting. ISDA (1) 2006: 1098-1103 - [c2]Dong-Xiao Niu, Bo Zhang, Mian Xing:
Application of Neural Network Based on Particle Swarm Optimization in Short-Term Load Forecasting. ISNN (2) 2006: 1269-1276 - 2005
- [c1]Dong-Xiao Niu, Qiang Wang, Jinchao Li:
Short Term Load Forecasting Model Based on Support Vector Machine. ICMLC 2005: 880-888
Coauthor Index
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