Urban long term electricity demand forecast method based on system dynamics of the new economic normal: The case of Tianjin
暂无分享,去创建一个
Yongxiu He | Yan Chang | Jie Jiao | Sifan Ge | Yongxiu He | Qian Chen | Yang Xu | Yang Xu | Qian Chen | Yan Chang | J. Jiao | Sifan Ge
[1] Nadia Maïzi,et al. Analysis of the importance of structural change in non-energy intensive industry for prospective modelling: The French case , 2016 .
[2] M. G. Morgan,et al. Bounding US electricity demand in 2050 , 2016 .
[3] Julián Pérez-García,et al. Analysis and long term forecasting of electricity demand trough a decomposition model: A case study for Spain , 2016 .
[4] Ting-Chia Ou,et al. A novel unsymmetrical faults analysis for microgrid distribution systems , 2012 .
[5] Song Li,et al. Short-term load forecasting by wavelet transform and evolutionary extreme learning machine , 2015 .
[6] D. H. Vu,et al. A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables , 2015 .
[7] Yoshiyasu Tamura,et al. Using the ensemble Kalman filter for electricity load forecasting and analysis , 2016 .
[8] Chaoqing Yuan,et al. Forecasting China’s energy demand and self-sufficiency rate by grey forecasting model and Markov model , 2015 .
[9] Coşkun Hamzaçebi,et al. Forecasting the annual electricity consumption of Turkey using an optimized grey model , 2014 .
[10] I. Staffell,et al. The Shape of Future Electricity Demand: Exploring Load Curves in 2050s Germany and Britain , 2015 .
[11] Whei-Min Lin,et al. Unbalanced distribution network fault analysis with hybrid compensation , 2011 .
[12] Usman Zia,et al. The long-term forecast of Pakistan's electricity supply and demand: An application of long range energy alternatives planning , 2015 .
[13] Song Yihang. A Model Integrating Econometric Approach With System Dynamics for Long-Term Load Forecasting , 2011 .
[14] Chih-Ming Hong,et al. Dynamic operation and control of microgrid hybrid power systems , 2014 .
[15] Sarajane Marques Peres,et al. Gesture phase segmentation using support vector machines , 2016, Expert Syst. Appl..
[16] Ashkan Rahimi-Kian,et al. A cost-efficient and reliable energy management of a micro-grid using intelligent demand-response program , 2015 .
[17] Huiru Zhao,et al. An optimized grey model for annual power load forecasting , 2016 .
[18] M. E. Günay,et al. Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey , 2016 .
[19] Shyh-Jier Huang,et al. A Modified Bird-Mating Optimization with Hill-Climbing for Connection Decisions of Transformers , 2016 .
[20] Chih-Ming Hong,et al. Self-Regulation Ground Faults Model for Microgrid Distribution , 2015 .
[21] Jiang Lin,et al. Economic rebalancing and electricity demand in China , 2016 .
[22] Zhao Yishu. Application and Analysis of Microgrid , 2009 .
[23] Jorge J. Gómez-Sanz,et al. Reviewing Microgrids from a Multi-Agent Systems Perspective , 2014 .
[24] Mohammad Moradzadeh,et al. A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management , 2016 .
[25] I. Trotter,et al. Climate change and electricity demand in Brazil: A stochastic approach , 2016 .
[26] Li Li,et al. Sustainable energy development scenario forecasting and energy saving policy analysis of China , 2016 .
[27] Chih-Ming Hong,et al. Development of intelligent MPPT (maximum power point tracking) control for a grid-connected hybrid power generation system , 2013 .
[28] Mingyue Zhai. A new method for short-term load forecasting based on fractal interpretation and wavelet analysis , 2015 .
[29] Wilfried Elmenreich,et al. Residential demand response scheme based on adaptive consumption level pricing , 2016 .