Forecasting China’s energy demand and self-sufficiency rate by grey forecasting model and Markov model
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[1] Prabir Sarkar,et al. Energy generation from grey water in high raised buildings: The case of India , 2014 .
[2] Yongjun Zhang,et al. Gray theory based energy saving potential evaluation and planning for distribution networks , 2014 .
[3] Mohammad Masud Kamal. Khan,et al. General sustainability indicator of renewable energy system based on grey relational analysis , 2013 .
[4] Ye Qi,et al. Framing energy efficiency and renewable energy policies: An international comparison between Mexico and China , 2012 .
[5] Zhaohua Wang,et al. An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China , 2012 .
[6] Der-Chiang Li,et al. Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case , 2012 .
[7] Presley K. Wesseh,et al. Causal independence between energy consumption and economic growth in Liberia: Evidence from a non-parametric bootstrapped causality test , 2012 .
[8] P. Zhou,et al. Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure , 2012 .
[9] Jing Zhao,et al. Using a Grey model optimized by Differential Evolution algorithm to forecast the per capita annual net income of rural households in China , 2012 .
[10] F. Kahrl. Energy and Environmental Policy in China: Towards a Low Carbon Economy , 2012 .
[11] G. Zou,et al. The long-term relationships among China's energy consumption sources and adjustments to its renewable energy policy , 2012 .
[12] K. Nagasaka,et al. Mapping of solar energy potential in Indonesia using artificial neural network and geographical information system , 2012 .
[13] Daniel Masa Bote,et al. Neural network controller for active demand side management with PV energy in the residential sector , 2012 .
[14] E. Caamaño-Martín,et al. Neural network controller for Active Demand-Side Management with PV energy in the residential sector , 2012 .
[15] A. T. Yalta,et al. Energy consumption and economic growth in China: A reconciliation , 2012 .
[16] Chiun-Sin Lin,et al. Grey forecasting model for CO2 emissions: A Taiwan study , 2011 .
[17] Chin Wen Cheong,et al. Parametric and non-parametric approaches in evaluating martingale hypothesis of energy spot markets , 2011, Math. Comput. Model..
[18] C. Paoletti,et al. Multiple regression analysis of hydrogen sulphide poisoning in molten carbonate fuel cells used for waste-to-energy conversions , 2011 .
[19] Shiro Masuda,et al. A research on short term load forecasting problem applying improved grey dynamic model , 2011 .
[20] H. Pao,et al. Modeling and forecasting the CO 2 emissions, energy consumption, and economic growth in Brazil , 2011 .
[21] Nan Zhou,et al. Assessment of building energy-saving policies and programs in China during the 11th Five-Year Plan , 2011, Energy Efficiency.
[22] Ujjwal Kumar,et al. Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India , 2010 .
[23] Tzu-Li Tien,et al. Forecasting CO2 Output from Gas Furnace by Grey Prediction Model IGMC (1, n) , 2010 .
[24] Chun-Wu Yeh,et al. An improved grey-based approach for early manufacturing data forecasting , 2009, Comput. Ind. Eng..
[25] Sue J. Lin,et al. The forecast of motor vehicle, energy demand and CO2 emission from Taiwan's road transportation sector , 2009 .
[26] Sifeng Liu,et al. Discrete grey forecasting model and its optimization , 2009 .
[27] Ruiliang Yan,et al. A historic review of management science research in China , 2008 .
[28] Patrick E. Phelan,et al. U.S. manufacturing aggregate energy intensity decomposition: The application of multivariate regression analysis , 2008 .
[29] Xiping Wang,et al. Grey prediction with rolling mechanism for electricity demand forecasting of Shanghai , 2007, 2007 IEEE International Conference on Grey Systems and Intelligent Services.
[30] Diyar Akay,et al. Grey prediction with rolling mechanism for electricity demand forecasting of Turkey , 2007 .
[31] Kelvin K. W. Yau,et al. Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks , 2007 .
[32] Li-Chang Hsu,et al. Forecasting the output of integrated circuit industry using a grey model improved by the Bayesian analysis , 2007 .
[33] B. W. Ang,et al. A trigonometric grey prediction approach to forecasting electricity demand , 2006 .
[34] Yi Lin,et al. Grey Information - Theory and Practical Applications , 2005, Advanced Information and Knowledge Processing.
[35] Hsien-Che Lai,et al. A variable P value rolling Grey forecasting model for Taiwan semiconductor industry production , 2005 .
[36] Deng Ju-Long,et al. Control problems of grey systems , 1982 .
[37] Li-qun Liu,et al. Deliberating on renewable and sustainable energy policies in China , 2013 .
[38] Lee-Ing Tong,et al. Forecasting energy consumption using a grey model improved by incorporating genetic programming , 2011 .
[39] Chaoqing Yuan,et al. The relationship among energy prices and energy consumption in China , 2010 .
[40] 中華人民共和国国家統計局. China statistical yearbook , 1988 .