Measurements of global terrestrial solar radiation (R s) are commonly recorded in meteorological stations. Daily variability of R s has to be taken into account for the design of photovoltaic systems and energy efficient buildings. Principal components analysis (PCA) was applied to R s data recorded at 30 stations in the Mediterranean coast of Spain. Due to equipment failures and site operation problems, time series of R s often present data gaps or discontinuities. The PCA approach copes with this problem and allows estimation of present and past values by taking advantage of R s records from nearby stations. The gap infilling performance of this methodology is compared with neural networks and alternative conventional approaches. Four pri...
Context: Is achieved a research through Principal Component Analysis (PCA) for determining the varia...
Solar resource assessment is of paramount importance in the planning of solar energy applications. S...
International audienceIn this work, we have led an analysis of the error of different global solar r...
Measurements of global terrestrial solar radiation (R s) are commonly recorded in meteorological sta...
The high usage of fossil fuel to produce energy for the increasing demand of energy has been the pr...
The high usage of fossil fuel to produce energy for the increasing demand of energy has been the pri...
International audienceThe development of grid-connected photovoltaic power systems leads to new chal...
It is well known that the knowledge of solar radiation represents a key for managing photovoltaic (P...
The modeling of solar radiation for forecasting its availability is a key tool for managing photovol...
The modeling of solar radiation for forecasting its availability is a key tool for managing photovol...
Solar energy plays a central role in the energy transition. Clouds generate locally large fluctuatio...
The modeling of solar radiation for forecasting its availability is a key tool for managing photovol...
Due to the recent decrease in costs, solar based renewable energy technologies like photovoltaics (P...
An accurate knowledge of the global, diffuse and direct beam irradiance at specific geographical loc...
Context: Is achieved a research through Principal Component Analysis (PCA) for determining the varia...
Solar resource assessment is of paramount importance in the planning of solar energy applications. S...
International audienceIn this work, we have led an analysis of the error of different global solar r...
Measurements of global terrestrial solar radiation (R s) are commonly recorded in meteorological sta...
The high usage of fossil fuel to produce energy for the increasing demand of energy has been the pr...
The high usage of fossil fuel to produce energy for the increasing demand of energy has been the pri...
International audienceThe development of grid-connected photovoltaic power systems leads to new chal...
It is well known that the knowledge of solar radiation represents a key for managing photovoltaic (P...
The modeling of solar radiation for forecasting its availability is a key tool for managing photovol...
The modeling of solar radiation for forecasting its availability is a key tool for managing photovol...
Solar energy plays a central role in the energy transition. Clouds generate locally large fluctuatio...
The modeling of solar radiation for forecasting its availability is a key tool for managing photovol...
Due to the recent decrease in costs, solar based renewable energy technologies like photovoltaics (P...
An accurate knowledge of the global, diffuse and direct beam irradiance at specific geographical loc...
Context: Is achieved a research through Principal Component Analysis (PCA) for determining the varia...
Solar resource assessment is of paramount importance in the planning of solar energy applications. S...
International audienceIn this work, we have led an analysis of the error of different global solar r...