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How solar radiation forecasting impacts the utilization of solar energy: A critical review
The demand for energy generation from solar energy resource has been exponentially
increasing in recent years. It is integral for a grid operator to maintain the balance between …
increasing in recent years. It is integral for a grid operator to maintain the balance between …
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
The benefits of renewable energy are that it is sustainable and is low in environmental
pollution. Growing load requirement, global warming, and energy crisis need energy …
pollution. Growing load requirement, global warming, and energy crisis need energy …
[HTML][HTML] Storage requirements and costs of sha** renewable energy toward grid decarbonization
Deeply decarbonizing electricity production will likely require that low-carbon sources meet
energy demand throughout days, years, and decades. Wind and solar energy are possible …
energy demand throughout days, years, and decades. Wind and solar energy are possible …
Machine learning methods for solar radiation forecasting: A review
Forecasting the output power of solar systems is required for the good operation of the
power grid or for the optimal management of the energy fluxes occurring into the solar …
power grid or for the optimal management of the energy fluxes occurring into the solar …
Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting
Solar and wind energy are inherently time-varying sources of energy on scales from minutes
to seasons. Thus, the incorporation of such intermittent and stochastic renewable energy …
to seasons. Thus, the incorporation of such intermittent and stochastic renewable energy …
History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
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 …
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components
Three methods, smart persistence, artificial neural network and random forest, are compared
to forecast the three components of solar irradiation (global horizontal, beam normal and …
to forecast the three components of solar irradiation (global horizontal, beam normal and …
PV power forecasting based on data-driven models: a review
Accurate PV power forecasting techniques are a prerequisite for the optimal management of
the grid and its stability. This paper presents a review of the recent developments in the field …
the grid and its stability. This paper presents a review of the recent developments in the field …
Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control
This paper proposes an artificial neural network (ANN) to predict the solar energy
generation produced by photovoltaic generators. The intermittent nature of solar power …
generation produced by photovoltaic generators. The intermittent nature of solar power …
Solar forecasting methods for renewable energy integration
The higher penetration of renewable resources in the energy portfolios of several
communities accentuates the need for accurate forecasting of variable resources (solar …
communities accentuates the need for accurate forecasting of variable resources (solar …