Accurate Energy Forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic Energy use, contingency scheduling, the planning and maintenance of Energy supply systems, and so on.
In recent decades, many Energy Forecasting models have been continuously proposed to improve Forecasting accuracy, including traditional statistical models (e.g., ARIMA, SARIMA, ARMAX, multi-variate regression.
Accurate Energy Forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic Energy use, contingency scheduling, the planning and maintenance of Energy supply systems, and so on
