With exponential growth in in the U.S. utility-scale photovoltaic market, high resolution solar irradiance data and appropriate spatial-temporal models are required to determine the true impact of solar power variability on the grid. This paper describes a new and economical Data Acquisition System (DAS) to collect high resolution solar power data required for high penetration PV integration studies and suggests an empirical model to simulate the plant-average irradiance time series given a single irradiance point sensor
Solar and other renewable power sources are becoming an integral part of the electrical grid in the ...
We present an approach to simulate time-synchronized, one-minute power output from large photovoltai...
We analyze the output of various state-of-the-art irradiance models for photovoltaic systems. The mo...
Due to the recent decrease in costs, solar based renewable energy technologies like photovoltaics (P...
Solar energy is the most promising source for electricity generation, the photovoltaic installed cap...
Reliable and regional differentiated power forecasts are required to guarantee an efficient and econ...
In view of the rapid growth of solar power installations worldwide, accurate forecasts of photovolta...
As the number of large scale photovoltaic power plants (which also known as solar parks) is growing ...
Cloud-induced photovoltaic variability can affect grid stability and power quality, especially in el...
We propose and examine several statistical criteria for characterizing time series of solar irradian...
It is important to be able to accurately simulate the variability of solar PV power plants for grid ...
Solar energy plays a central role in the energy transition. Clouds generate locally large fluctuatio...
We analyze the output of various state-of-The-Art irradiance models for photovoltaic systems. The mo...
Very short-term solar forecasts are gaining interest for their application on real-time control of p...
Knowing solar irradiance value allows an optimized management of photovoltaic (PV) power plants in t...
Solar and other renewable power sources are becoming an integral part of the electrical grid in the ...
We present an approach to simulate time-synchronized, one-minute power output from large photovoltai...
We analyze the output of various state-of-the-art irradiance models for photovoltaic systems. The mo...
Due to the recent decrease in costs, solar based renewable energy technologies like photovoltaics (P...
Solar energy is the most promising source for electricity generation, the photovoltaic installed cap...
Reliable and regional differentiated power forecasts are required to guarantee an efficient and econ...
In view of the rapid growth of solar power installations worldwide, accurate forecasts of photovolta...
As the number of large scale photovoltaic power plants (which also known as solar parks) is growing ...
Cloud-induced photovoltaic variability can affect grid stability and power quality, especially in el...
We propose and examine several statistical criteria for characterizing time series of solar irradian...
It is important to be able to accurately simulate the variability of solar PV power plants for grid ...
Solar energy plays a central role in the energy transition. Clouds generate locally large fluctuatio...
We analyze the output of various state-of-The-Art irradiance models for photovoltaic systems. The mo...
Very short-term solar forecasts are gaining interest for their application on real-time control of p...
Knowing solar irradiance value allows an optimized management of photovoltaic (PV) power plants in t...
Solar and other renewable power sources are becoming an integral part of the electrical grid in the ...
We present an approach to simulate time-synchronized, one-minute power output from large photovoltai...
We analyze the output of various state-of-the-art irradiance models for photovoltaic systems. The mo...