Variability of solar resource poses difficulties in grid management as solar penetration rates
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …

Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …

Forecasting the power production of grid-connected photovoltaic (PV) power plants is
essential for both the profitability and the prospects of the technology. Physically inspired …

Forecasting is a crucial task for successfully integrating photovoltaic (PV) output power into
the grid. The design of accurate photovoltaic output forecasters remains a challenging issue …

This paper proposes an artificial neural network (ANN) to predict the solar energy
generation produced by photovoltaic generators. The intermittent nature of solar power …

With the fast expansion of renewable energy system installed capacity in recent years, the
availability, stability, and quality of smart grids have become increasingly important. The …

Despite the advances in solar forecasting methods, and their ever-increasing accuracy, little
is known about their value for real applications, eg, bidding in the electricity market, power …

A distributed energy resource (DER) system is a multi-input and multi-output energy system
consisting of small-scale technologies, which provide electricity and thermal energy close to …

The power output (PO) of a photovoltaic (PV) system is highly variable because of its
dependence on solar irradiance and other meteorological factors. Hence, accurate PO …

The ability to accurately forecast power generation from renewable sources is nowadays
recognized as a fundamental skill to improve the operation of power systems. Despite the …