Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …

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 …

In the modern agriculture, greenhouses are well established as technological solutions
aimed to increase plants productivity and crops quality. Greenhouses can include added …

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 …

The increasing penetration of stochastic photovoltaic (PV) generation in electric power
systems poses significant challenges to system operators. To ensure reliable operation of …

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 …

Accurate photovoltaic (PV) production forecasting is necessary for the optimal integration of
this technology into existing power systems and is important for both grid and plant …

A main challenge for integrating the intermittent photovoltaic (PV) power generation remains
the accuracy of day-ahead forecasts and the establishment of robust performing methods …

This paper develops new real time prediction models for output power and energy efficiency
of solar photovoltaic (PV) systems. These models were validated using measured data of a …

In the field of renewable energy, reliability analysis techniques combining the operating time
of the system with the observation of operational and environmental conditions, are gaining …