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兰州大学 [14]

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期刊论文 [9]

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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)
	Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting 期刊论文 APPLIED SOFT COMPUTING, 2016, 卷号: 49, 页码: 663-675 作者: Yang, Yi; Chen, Yanhua; Wang, Yachen; Li, Caihong; Li, Lian 收藏 \| 浏览/下载：6/0 \| 提交时间：2017/01/16 Forecasting Backpropagation Electric power utilization Energy resources Evolutionary algorithms Fuzzy inference Fuzzy neural networks Optimization Adaptive network based fuzzy inference system ANFIS Back propagation neural networks Combined forecasting diff-SARIMA Electricity demand forecasting Optimization algorithms Seasonal autoregressive integrated moving averages
	Day-ahead electricity demand forecasting using a hybrid method 会议论文 4th International Conference on Computer Engineering and Networks, CENet2014, Shanghai, China, July 19, 2014 - July 20, 2014 作者: Li, Zirong; Zhang, Xiaohe; Li, Yan; Liu, Chun 收藏 \| 浏览/下载：5/0 \| 提交时间：2017/01/18 Electric load forecasting Artificial intelligence Computer networks Electric power utilization Forecasting Least squares approximations Particle swarm optimization (PSO) Support vector machines Demand forecasting Electricity demand forecasting Electricity demands Hybrid method Least square support vector machines New South Wales Particle swarm optimization algorithm Seasonal adjustments
	Day-ahead electricity demand forecasting method based on SOM, WT and PSO-LSSVM algorithm 期刊论文 Journal of Computational Information Systems, 2014, 卷号: 10, 期号: 5, 页码: 2203-2210 作者: Yang, Yi; Yuan, Chao; Wang, Jianzhou; Li, Caihong; Li, Lian 收藏 \| 浏览/下载：3/0 \| 提交时间：2016/07/15 Australian electricity market Electricity demand forecasting Electricity market Empirical testing Forecasting methods Least squares support vector machines SelfOrganizing Feature Map (SOM) Special energy
	Using a combined method to forecasting electricity demand 会议论文 3rd International Conference on Mechatronics and Control Engineering, ICMCE 2014, Zhuhai, China, August 27, 2014 - August 28, 2014 作者: Gui, Xiang Quan; Gui, Xiang Quan; Li, Li; Xie, Peng Shou; Cao, Jie 收藏 \| 浏览/下载：3/0 \| 提交时间：2017/01/20 Electric load forecasting Commerce Forecasting Wavelet transforms Demand forecasting Electric markets Electricity demand forecasting Electricity demands Elman neural network Elman neural networks (ENN) Forecasting electricity Seasonal adjustments
	Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting 期刊论文 ENERGY, 2013, 卷号: 49, 页码: 279-288 作者: An, N; Zhao, WG; Wang, JZ; Shang, D; Zhao, ED 收藏 \| 浏览/下载：2/0 \| 提交时间：2015/12/16 EMD-based signal filtering Seasonal adjustment Feedforward neural network Electricity demand forecasting Multi-output forecasting
	Optimization models based on GM (1,1) and seasonal fluctuation for electricity demand forecasting 期刊论文 INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 卷号: 43, 期号: 1, 页码: 109-117 作者: Wang, JZ; Ma, XL; Wu, J; Dong, Y 收藏 \| 浏览/下载：3/0 \| 提交时间：2015/12/16 GM (1,1) model Seasonal fluctuation Adaptive parameter learning Electricity demand
	Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China 期刊论文 ENERGY POLICY, 2012, 卷号: 48, 页码: 284-294 作者: Wang, YY; Wang, JZ; Zhao, G; Dong, Y 收藏 \| 浏览/下载：3/0 \| 提交时间：2015/12/16 Electricity demand Seasonal ARIMA Residual modification model
	A seasonal hybrid procedure for electricity demand forecasting in China 期刊论文 APPLIED ENERGY, 2011, 卷号: 88, 期号: 11, 页码: 3807-3815 作者: Zhu, SL; Wang, JZ; Zhao, WG 收藏 \| 浏览/下载：1/0 \| 提交时间：2015/12/16 Optimization Forecasting Electricity demand
	Chaotic time series method combined with particle swarm optimization and trend adjustment for electricity demand forecasting 期刊论文 EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 7, 页码: 8419-8429 作者: Wang, JZ; Chi, DZ; Wu, J; Lu, HY 收藏 \| 浏览/下载：3/0 \| 提交时间：2015/12/16 Chaotic time series Particle swarm optimization algorithm Trend adjustment

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