Recently, the prediction of photovoltaic (PV) power has become of paramount importance to
improve the expected revenue of PV operators and the effective operations of PV facility …

As the majority of daily PV power outputs is mostly obtained in a peak zone around noon,
hourly PV power output prediction in a peak zone is considered as an essential function for …

This paper presents two probabilistic approaches based on bootstrap method and quantile
regression (QR) method to estimate the uncertainty associated with solar photovoltaic (PV) …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Quantification of uncertainties associated with solar photovoltaic (PV) power generation
forecasts is essential for optimal management of solar PV farms and their successful …

This paper presents an approach to the power management of nanogrid clusters assisted by
a novel form of peer‐to‐peer (P2P) electricity trading. DC nanogrids have lower power loss …

The increasing demand for solar photovoltaic systems that generate electricity from sunlight
stems from their clean and renewable nature. These systems are often deployed in remote …

In this study, the Jaya optimization algorithm is used to address the micro-grid energy
management optimization problem using a hybrid PV-wind-microturbine-storage energy …

The use of solar photovoltaics (PV) energy provides additional resources to the electric
power grid. The downside of this integration is that the solar power supply is unreliable and …

With the increasing penetration of solar photovoltaic (PV) generation in the power system,
the reliability of the distribution system and efficiency of PV systems have garnered …