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兰州大学 [27]

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	Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting 期刊论文 ENERGIES, 2017, 卷号: 10, 期号: 1-1 作者: Li, WD; Yang, X; Li, H; Su, LL 收藏 \| 浏览/下载：5/0 \| 提交时间：2017/05/09 electricity demand forecasting ensemble empirical mode decomposition (EEMD) generalized regression neural network (GRNN) support vector machine (SVM)
	Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting 期刊论文 Applied Soft Computing Journal, 2016, 卷号: 49, 页码: 164-178 作者: Wang, Jianzhou; Hou, Ru; Wang, Chen; Shen, Lin 收藏 \| 浏览/下载：3/0 \| 提交时间：2017/01/12 Stock price index Brain storm optimization v-Support vector regression Data pre-analysis Forecasting validity
	An incremental electric load forecasting model based on support vector regression 期刊论文 Energy, 2016, 卷号: 113, 页码: 796-808 作者: Yang, YouLong; Zhao, YanJun; Zhu, SuLing; Che, JinXing; Li, YanYing 收藏 \| 浏览/下载：5/0 \| 提交时间：2017/01/11 Electric load forecasting Phase space reconstruction Support vector regression Representative data set reconstruction method Nested particle swarm optimization
	A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting 期刊论文 ATMOSPHERIC ENVIRONMENT, 2016, 卷号: 134, 页码: 168-180 作者: Niu, MF; Wang, YF; Sun, SL; Li, YW 收藏 \| 浏览/下载：2/0 \| 提交时间：2017/01/12 Complementary ensemble empirical mode decomposition Grey wolf optimizer Support vector regression Hybrid decomposition-ensemble model PM2.5 concentration forecasting
	A Combined Model Based on Neural Networks, LSSVM and Weight Coefficients Optimization for Short-Term Electric Load Forecasting 会议论文 17th International Conference on Web-Age Information Management (WAIM), Nanchang, PEOPLES R CHINA, JUN 03-05, 2016 作者: Li, CH; He, ZS; Wang, YC 收藏 \| 浏览/下载：3/0 \| 提交时间：2017/05/11 Generalized regression neural network Elman Least squares support vector machine simulated annealing algorithm Short-term electric load forecasting
	A robust combination approach for short-term wind speed forecasting and analysis - Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model 期刊论文 ENERGY, 2015, 卷号: 93, 页码: 41-56 作者: Wang, JZ; Hu, JM 收藏 \| 浏览/下载：7/0 \| 提交时间：2017/01/12 Gaussian Process Regression Wind speed forecasting Empirical Wavelet Transform Extreme Learning Machine Support Vector Machine
	A Novel Hybrid FA-Based LSSVR Learning Paradigm for Hydropower Consumption Forecasting 期刊论文 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2015, 卷号: 28, 期号: 5, 页码: 1080-1101 作者: Tang, L; Wang, ZS; Li, XX; Yu, L; Zhang, GX 收藏 \| 浏览/下载：0/0 \| 提交时间：2017/01/10 Artificial intelligence firefly algorithm hybrid model hydropower consumption least squares support vector regression time series forecasting
	Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China 期刊论文 RENEWABLE ENERGY, 2015, 卷号: 76, 页码: 91-101 作者: Wang, JZ; Qin, SS; Zhou, QP; Jiang, HY 收藏 \| 浏览/下载：5/0 \| 提交时间：2015/12/18 Wind speed forecasting Outlier detection Support vector regression Elman recurrent neural network Hybrid model
	Short-term load forecasting using a kernel-based support vector regression combination model 期刊论文 APPLIED ENERGY, 2014, 卷号: 132, 页码: 602-609 作者: Che, JX; Wang, JZ 收藏 \| 浏览/下载：4/0 \| 提交时间：2015/12/16 Short-term load forecasting Kernel Support vector regression Combination model Selection algorithm
	Frequency Hopping Prediction Based on Multi-Kernel SVM 会议论文 2nd International Conference on Measurement, Instrumentation and Automation (ICMIA 2013), Guilin, PEOPLES R CHINA, APR 23-24, 2013 作者: Yao, YK; Yu, YQ; Liu, Y; Wang, JJ; Chen, XY 收藏 \| 浏览/下载：3/0 \| 提交时间：2017/01/18 Support vector regression Frequency hopping Multi-kernel function Prediction

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