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 …

Global climatic changes and increased carbon footprints provided the main impetus for the
decrease in the use of fossil fuels for electricity generation and transportation. Matured …

Analyzing the drivers of energy demand and predicting energy consumption can help to
shape national policies on energy transformation and energy security. This paper estimates …

Accurate electric load forecasting is critical in guaranteeing the efficiency of the load
dispatch and supply by a power system, which prevents the wasting of electricity and …

Accurately forecasting solar plants production is critical for balancing supply and demand
and for scheduling distribution networks operation in the context of inclusive smart cities and …

Owing to integrating photovoltaic solar systems into power networks, accurate prediction of
solar irradiance plays an increasingly significant role in electric energy planning and …

The field of energy forecasting has attracted many researchers from different fields (eg,
meteorology, data sciences, mechanical or electrical engineering) over the last decade …

This article introduces a carefully-engineered forecasting methodology for day-ahead
electric power load forecasts evaluated using the European Network of Transmission …

Photovoltaic (PV) power is volatile in nature and raises the level of uncertainty in power
systems. PV power forecasting is an important measure to solve this problem. It helps to …

The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …