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	Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight 期刊论文 FRONTIERS IN ENERGY RESEARCH, 2021, 卷号: 9, 页码: 14 作者: Yang, Dongchuan; Guo, Ju-e; Li, Jie; Wang, Shouyang; Sun, Shaolong 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/04/02 electricity demand forecasting scientometric visualization citespace knowledge mapping
	Data driven parallel prediction of building energy consumption using generative adversarial nets 期刊论文 ENERGY AND BUILDINGS, 2019, 卷号: 186, 页码: 230-243 作者: Tian, Chenlu; Li, Chengdong; Zhang, Guiqing; Lv, Yisheng 收藏 \| 浏览/下载：64/0 \| 提交时间：2019/07/12 building energy consumption deep learning parallel prediction Generative Adversarial Nets
	Demand Based Bidding Strategies under Interval Demand for Integrated Demand and Supply Management 会议论文里约, 2018 作者: Z. Liu; X. Zeng; Z. Yang 收藏 \| 浏览/下载：18/0 \| 提交时间：2019/01/31
	Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia 期刊论文 ADVANCED ENGINEERING INFORMATICS, 2018, 卷号: 35, 页码: 1-16 作者: Al-Musaylh, Mohanad S.; Deo, Ravinesh C.; Adarnowski, Jan F.; Li, Yan 收藏 \| 浏览/下载：48/0 \| 提交时间：2019/10/09 Electricity demand forecasting Machine learning SVR MARS ARIMA
	An analysis of the electricity market and power needs in Shandong using vector autoregression 期刊论文 International Journal of Applied Decision Sciences, 2017, 卷号: Vol.10 No.1, 页码: 69-88 作者: Yu, S.a,b; Ma, J.a; Min, H.c; Zhan, X.a,d 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/11/21 electricity demand stationary test cointegration test VAR model demand forecasting economic development energy structure power supply power demand demand structure Shandong vector autoregression China.
	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
	福建省电力需求影响因素的实证分析及电力需求预测学位论文 2015, 2015 张敬业收藏 \| 浏览/下载：2/0 \| 提交时间：2016/02/23 电力需求经济增长重工业比重预测模型 Electricity Demand Economic Growth the Proportion of Heavy Industry Forecasting Model
	台湾电力中长期供给与需求矛盾研究学位论文 2015, 2015 张玉兰收藏 \| 浏览/下载：5/0 \| 提交时间：2016/02/23 台湾电力供给电力需求预测 Taiwan Electricity Supply Electricity Demand Forecasting
	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

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