Reliable photovoltaic (PV) forecasting can provide important data support for power system
operation, which is the key to realize the large-scale consumption of solar energy resources …

A reliable short-term forecast of photovoltaic power (PVPF) is essential to maintaining stable
power systems and optimizing power grid dispatch. A hybrid prediction framework of PVPF …

The excessive emission of carbon is one of the important factors causing environmental
pollution, and the prediction of carbon trading market price is an important mean of emission …

Crude oil prices have risen sharply and plummeted in recent decades. Therefore, its
effective forecasting faces great difficulties and challenges. In this paper, a novel crude oil …

The challenges currently faced by network operators are difficult and complex. Presently,
various types of energy sources with random generation, energy storage units operating in …

Wind power generation combined with energy storage is able to maintain energy balance
and realize stable operation. This article proposes a data-driven energy storage …

Short-term load forecasting (STLF) is crucial for intelligent energy and power scheduling.
The time series of power load exhibits high volatility and complexity in its components …

A fully automated transferable predictive approach was developed to predict photovoltaic
(PV) power output for a forecasting horizon of 24 h. The prediction of PV power output was …

As the penetration rate of photovoltaic (PV) in the grid increases, enormous challenges have
been brought into power grid dispatcher's operation. Efficient and accurate PV power …

High-quality interval prediction is helpful to accurately capture the uncertainty of wind power
generation and provide support to grid dispatchers and operators. As an effective and …