Modeling for Energy Demand Forecasting

As mentioned in Chap. 1, the electric load forecasting methods can be classified in three categories [1–12]:

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[36]  Wei-Chiang Hong,et al.  Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm , 2011, Neurocomputing.

[37]  Wei-Chiang Hong,et al.  Electric load forecasting by support vector model , 2009 .

[38]  Sen Guo,et al.  A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm , 2013, Knowl. Based Syst..

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[40]  Farookh Khadeer Hussain,et al.  Support vector regression with chaos-based firefly algorithm for stock market price forecasting , 2013, Appl. Soft Comput..

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[46]  Ping-Feng Pai,et al.  Support Vector Machines with Simulated Annealing Algorithms in Electricity Load Forecasting , 2005 .

[47]  Ping-Feng Pai,et al.  A recurrent support vector regression model in rainfall forecasting , 2007 .

[48]  Devendra K. Chaturvedi,et al.  Short term load forecast using fuzzy logic and wavelet transform integrated generalized neural network , 2015 .

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[50]  Jie Wu,et al.  Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model , 2013 .

[51]  Ping-Feng Pai,et al.  Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms , 2005 .