The development of different solar energy (SE) systems becomes one of the most important
solutions to the problem of the rapid increase in energy demand. This may be achieved by …

Solar photovoltaic plants are widely integrated into most countries worldwide. Due to the
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …

Accurate forecasting of photovoltaic power plays a pivotal role in the integration, operation,
and scheduling of smart grid systems. Notably, volatility and intermittence of solar energy …

Accurate photovoltaic power forecasting is of great help to the operation of photovoltaic
power generation system. However, due to the instability, intermittence, and randomness of …

Accurate solar power forecasting is essential for grid-connected photovoltaic (PV) systems
especially in case of fluctuating environmental conditions. The prediction of PV power output …

The uncertainty associated with modeling and performance prediction of solar photovoltaic
systems could be easily and efficiently solved by artificial intelligence techniques. During the …

This paper is designed to undertake a comprehensive review on state-of-the-art maximum
power point tracking (MPPT) methods of photovoltaic (PV) systems under partial shading …

This paper proposes artificial neural network (ANN) and regression models for photovoltaic
modules power output predictions and investigates the effects of climatic conditions and …

Renewable energy has made a significant contribution to global power generation.
Therefore, accurate mid-to-long term renewable energy generation forecasting is becoming …

Uneven dust accumulation can significantly influence the thermal balance between different
regions of photovoltaic (PV) panels, leading to a sharp decrease in power generation …