Providing accurate wind speed prediction algorithms has become increasingly significant because of the important technological and economic impacts of wind speed on wind power generation. In this study, two combined strategies for wind speed forecasting are proposed and followed. Four approaches...

Electricity is a special energy which is hard to store, so the electricity demand forecasting in China remains an important problem. This paper aims at developing an improved hybrid model for electricity demand in China, which takes the advantages of moving average procedure, combined method,...

Kernel-based methods, such as support vector regression (SVR), have demonstrated satisfactory performance in short-term load forecasting (STLF) application. However, the good performance of kernel-based method depends on the selection of an appropriate kernel function that fits the learning...

This paper answers the question of whether China can realize its target to reduce the intensity of carbon dioxide (CO2) emissions per unit of GDP that was announced at the Copenhagen Conference by forecasting CO2 emission intensity in 2020 from the perspective of China’s coal-fired thermal...

The exploration of wind energy has become one of the most significant aims for countries all around the world. This is due to its low impact on the environment and its sustainable development. Therefore, it is very important to develop an effective and scientific way to evaluate wind resource...