The industrial process consumes substantial energy and emits large amounts of carbon
dioxide. With the help of accurate energy consumption and carbon emissions forecasting …

With the increasing penetration of renewable energy in smart grids and the increasing
building electrical load, their accurate forecasting is essential for system design, control and …

PV power forecasting models are predominantly based on machine learning algorithms
which do not provide any insight into or explanation about their predictions (black boxes) …

This review reports a quantitative analysis across the deterministic photovoltaic (PV) power
forecasting approaches. Model accuracy tests from papers passing a set of selection criteria …

Reliable photovoltaic power prediction is crucial to power dispatching and power grid
management. Aiming at the problems that the existing photovoltaic power prediction has low …

Accurate forecasting of photovoltaic (PV) power is of great significance for the safe, stable,
and economical operation of power grids. Therefore, a day-ahead photovoltaic power …

Conventional point prediction methods encounter challenges in accurately capturing the
inherent uncertainty associated with photovoltaic power due to its stochastic and volatile …

Precise prediction of the power generation of photovoltaic (PV) stations on the island
contributes to efficiently utilizing and develo** abundant solar energy resources along the …

The rapid development of the aviation industry urgently requires efficient airspace traffic
management, in which flight trajectory prediction is a core component. Existing trajectory …

Photovoltaic power forecasting is an important problem for renewable energy integration in
the grid. The purpose of this review is to analyze current methods to predict photovoltaic …