In recent years, artificial intelligence methods have been widely applied to solve issues
related to renewable energy because of their ability to solve nonlinear and complex data …

The ongoing transition in the electricity market, coupled with the rising penetration of
renewable energy sources, has spurred demand for enhanced load forecasting accuracy …

Abstract After signing the Paris Agreement and piloting carbon trading for many years, China
has taken a significant step toward carbon neutrality. Carbon price forecasting is helpful to …

Accurate wind speed forecasting is crucial for wind energy development and utilization. The
non-linearity and non-stationarity of the wind speed leads to difficulties in its prediction …

The use of wind energy plays a vital role in society owing to its economic and environmental
importance. Knowing the wind power generation within a specific time window is useful for …

This study proposes an effective combined model system for wind speed forecasting tasks.
In this model,(a) improved hybrid time series decomposition strategy (HTD) is developed to …

Wind energy is taken as one of the most potential green energy sources, whose accurate
and stable prediction is important to improve the efficiency of wind turbines as well as to …

Abstract 1 Short-term wind speed prediction is critical for enhancing the efficiency of wind
power systems and assuring the stability and continuity of power generation and the host …

Effective managing sustainable supply chain is on the most cutting-edge position of various
organizations in the process of delivering products. There are many optimization …

Owing to the continuous increase in the proportion of solar generation accounting for the
total global generation, real-time management of solar power has become indispensable …