A Hybrid Forecasting Model Based on EMD-GASVM-RBFNN for Power Grid Investment Demand

Table 2

Summary of traditional forecasting methods and applied documents.

Author	Forecasting object	Forecasting model	Characteristics
Antonio J. Conejo et al. [6]	Electricity prices	ARIMA	In the traditional method, the basic function relation of the model must be determined in advance, and the parameter estimation method is used to estimate the model parameters. Moreover, the traditional method is difficult to effectively identify the internal characteristics of the signal to be predicted, and the prediction accuracy is low.
Volkan S. Ediger et al. [7]	Energy demand	ARIMA
Diyar Akay et al. [8]	Electricity demand	Grey Model
Rajesh G. Kavasseri et al. [9]	Wind speed	Fractional-ARIMA
Vincenzo Bianco et al. [10]	Electricity consumption	Linear regression models
Li Jun-fang et al. [11]	Wind speed and wind power	Grey Model
Hsiao-Tien Pao et al. [12]	CO2 emissions, energy consumption and economic growth in China	Improved grey model