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兰州大学机构库

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A Novel Combined Model for Short-Term Electric Load Forecasting Based on Whale Optimization Algorithm 期刊论文
NEURAL PROCESSING LETTERS, 2020, 卷号: 52, 期号: 2, 页码: 1207-1232
Authors:  Shang, Zhihao;  He, Zhaoshuang;  Song, Yanru;  Yang, Y(杨裔);  Li, L(李廉);  Chen, Yanhua
Favorite  |  View/Download：1/0  |  Submit date：2020/12/16
Short-term electric load forecasting  Electricity price forecasting  LSSVM  ELM  GRNN  WOA  
A combined model based on SSA, neural networks, and LSSVM for short-term electric load and price forecasting 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020
Authors:  Zhang, Hairui;  Yang, Y(杨裔);  Zhang, Yu;  He, Zhaoshuang;  Yuan, Wei;  Yang, Yong;  Qiu, Wan;  Li, L(李廉)
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Power load and price forecasting  Jordan neural network  ESN network  LSSVM  Singular spectrum analysis  
A Combined Model Based on Feature Selection and WOA for PM2.5 Concentration Forecasting 期刊论文
ATMOSPHERE, 2019, 卷号: 10, 期号: 4
Authors:  Zhao, Fang;  Li, WD(李维德)
Favorite  |  View/Download：27/0  |  Submit date：2019/10/18
Feature Selection (FS)  Whale Optimization Algorithm (WOA)  Least Squares Support Vector Machines (LSSVM)  AutoCorrelation Function (ACF)  PM2.5 forecasting  
Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM2.5 concentration forecasting 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 卷号: 196, 页码: 110-118
Authors:  Niu, MF;  Gan, K;  Sun, SL;  Li, FY;  Sun, SL (reprint author), Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China.
Favorite  |  View/Download：92/0  |  Submit date：2018/01/19
PM2.5 concentration forecasting  Decomposition-ensemble learning paradigm  EEMD  PSR  LSSVM  
A hybrid application algorithm based on the support vector machine and artificial intelligence: An example of electric load forecasting 期刊论文
APPLIED MATHEMATICAL MODELLING, 2015, 卷号: 39, 期号: 9, 页码: 2617-2632
Authors:  Chen, YH;  Yang, Y(杨裔);  Liu, CQ;  Li, CH;  Li, L;  Chen, YH (reprint author), Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China.
Favorite  |  View/Download：114/0  |  Submit date：2016/07/15
Electric load forecasting  Empirical mode decomposition  Seasonal adjustment  PSO  LSSVM  
Predicting the ecotoxicity of ionic liquids towards Vibrio fischeri using genetic function approximation and least squares support vector machine 期刊论文
Journal of Hazardous Materials, 2015, 卷号: 283, 页码: 591-598
Authors:  Ma, SY;  Lv, M;  Deng, FF;  Zhang, XY(张晓昀);  Zhai, HL(翟红林);  Lv, WJ;  Zhang, XY (reprint author), Lanzhou Univ, Dept Chem, Lanzhou 730000, Gansu, Peoples R China.
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Ionic liquids  Ecotoxicity  Vibrio fischeri  GFA  LSSVM  
新疆区域性极端干旱事件及其数值模拟和预测研究 学位论文
博士, 兰州: 兰州大学, 2014
Authors:  石彦军
Favorite  |  View/Download：4/0  |  Submit date：2019/01/17
新疆区域性极端干旱  SPI 指数改进  极端干旱空间分型  气候数值模拟  PSO_LSSVM 干旱预测模型  
A corrected hybrid approach for wind speed prediction in Hexi Corridor of China 期刊论文
ENERGY, 2011, 卷号: 36, 期号: 3, 页码: 1668-1679
Authors:  Guo, ZH;  Zhao, J;  Zhang, WY(张文煜);  Wang, JZ;  Zhao, J (reprint author), Lanzhou Univ, Sch Math & Stat, Tianshui Rd 222, Lanzhou 730000, Gansu, Peoples R China.
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Wind speed  Hybrid SARIMA-LSSVM model  Hypothesis test