In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …

Wind power forecasting (WPF) is the crucial technology for power system operation with
large-scale grid-connected wind farms. A large number of related studies have emerged …

Spatio-temporal wind power forecasting is significant to the stability of electric power
systems. However, the accuracy of power forecasting results is easily impaired by the …

Accurate wind farm cluster power forecasting is of great significance for the safe operation of
the power system with high wind power penetration. However, most of the current neural …

Accurate power prediction of wind farm clusters is important for safe and economic operation
of power systems with high wind power penetration. Current superposition and statistical …

A wind energy harvester (WEH) comprising a coaxial electromagnetic generator (EMG) and
a triboelectric nanogenerator (TENG) is proposed to achieve an energy-autonomous closed …

Currently, wind power prediction has so many problems in the ultra-short-term time scale (0–
4h), which is difficult to improve the deterministic prediction and probability prediction …

Wind power forecasting (WPF) is important for the safe, stable, and reliable integration of
new energy technologies into power systems. Machine learning (ML) algorithms have …

This paper develops a new hybrid forecasting model for the hourly power output of multiple
turbines (or plants), aimed at making use of both the spatial and temporal correlations of …

With the rapid development of new energy technologies and aiming at the proposal of the
“DOUBLE CARBON” goal, the proportion of wind energy and other new sustainable energy …