With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …

Accurate forecasting results are crucial for increasing energy efficiency and lowering energy
consumption in wind energy. Big data and artificial intelligence (AI) have great potential in …

Effective short-term wind power prediction is crucial to the optimal dispatching, system
stability, and operation cost control of a power system. In order to deal with the intermittent …

The use of renewable energy to reduce the effects of climate change and global warming
has become an increasing trend. In order to improve the prediction ability of renewable …

In this paper, an efficient new hybrid time series forecasting model combining variational
mode decomposition (VMD) and Deep learning mixed Kernel ELM (MKELM) Autoencoder …

Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …

Accurate ultra-short-term wind speed prediction is of great significance to the power
generation efficiency of wind farms, and also has a good application prospect in the field of …

Photovoltaic power generation has remarkable environmental benefit, and it is one of the
effective means to fundamentally solve environmental problem. An accurate photovoltaic …

Since air pollution negatively affects human health and causes serious diseases, accurate
air pollution prediction is essential regarding environmental sustainability. Although …

Wind power is playing a pivotal part in global energy growth as it is clean and pollution‐free.
To maximize profits, economic scheduling, dispatching, and planning the unit commitment …