Accurate photovoltaic (PV) power forecasting is crucial to ensure the safety and stability of
power systems, given the penetration of solar energy. Extracting spatial-temporal features …

The output power variability of photovoltaic (PV) power plants is one of the major challenges
for the operation and control of power systems. The short-term power variations, mainly …

Accurate and reliable state of health (SOH) estimation is extremely crucial for the safe and
stable operation of lithium-ion batteries (LIBs). In this paper, a method based on Lévy …

An accurate method for predicting wind power is crucial in effectively mitigating wind energy
fluctuations and ensuring a stable power supply. Nevertheless, the inadequacy of the …

Accurate prediction of photovoltaic (PV) cluster power is crucial for the reliable and cost-
effective operation of PV high penetration power systems. This paper introduces a method …

Photovoltaic (PV) and battery energy storage systems (BESSs) are key components in the
energy market and crucial contributors to carbon emission reduction targets. These systems …

Distributed photovoltaic (DPV) abnormal power data repair can provide high quality data for
the research of power forecasting. However, there is a lack of DPV abnormal power data …

With the rapid development of photovoltaic (PV), its inherent randomness and volatility are
important factors limiting further development. The randomness of PV is caused by the …

The penetration of photovoltaic (PV) power generation into the grid is increasing, but its
intermittency and instability pose major challenges to grid operation. Among them, a crucial …

To more fully harness user-side demand response and obtain a rational equilibrium solution
for multi-objective optimization., this paper proposes a multi-objective optimization method …