Review of photovoltaic power forecasting
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 …
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …
On recent advances in PV output power forecast
In last decade, the higher penetration of renewable energy resources (RES) in energy
market was encouraged by implementing the energy polices in several developed and …
market was encouraged by implementing the energy polices in several developed and …
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 …
A nonlinear autoregressive exogenous (NARX) neural network model for the prediction of the daily direct solar radiation
The solar photovoltaic (PV) energy has an important place among the renewable energy
sources. Therefore, several researchers have been interested by its modelling and its …
sources. Therefore, several researchers have been interested by its modelling and its …
Solar forecasting methods for renewable energy integration
RH Inman, HTC Pedro, CFM Coimbra - Progress in energy and combustion …, 2013 - Elsevier
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 …
Best practices handbook for the collection and use of solar resource data for solar energy applications
As the world looks for low-carbon sources of energy, solar power stands out as the single
most abundant energy resource on Earth. Harnessing this energy is the challenge for this …
most abundant energy resource on Earth. Harnessing this energy is the challenge for this …
[HTML][HTML] Estimating surface solar irradiance from satellites: Past, present, and future perspectives
Abstract Surface Solar Irradiance (SSI) is a key parameter dictating surface-atmosphere
interactions, driving radiative, hydrological, and land surface processes, and can thus …
interactions, driving radiative, hydrological, and land surface processes, and can thus …
Methods and tools to evaluate the availability of renewable energy sources
A Angelis-Dimakis, M Biberacher, J Dominguez… - … and sustainable energy …, 2011 - Elsevier
The recent statements of both the European Union and the US Presidency pushed in the
direction of using renewable forms of energy, in order to act against climate changes …
direction of using renewable forms of energy, in order to act against climate changes …
Global horizontal irradiance clear sky models: implementation and analysis.
Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function
of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various …
of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various …
Clear sky solar irradiance models: A review of seventy models
Clear sky solar irradiance parametric models seek to simplify the atmospheric attenuation
with relatively simple parameterizations in order to estimate solar irradiance under clear sky …
with relatively simple parameterizations in order to estimate solar irradiance under clear sky …